AAAI-19 Poster Demo Guide Flyer.1.16...2019/01/16 ·...

AAAI-‐‑19 Poster / Demo Paper Guide Coral Lounge

Hilton Hawaiian Village

Tuesday, January 29, 6:30 – 8:30 PM Wednesday, January 30, 6:30 – 8:30 PM Thursday, January 31, 6:30 – 8:30 PM

WELCOME TO THE AAAI-‐‑19 POSTER AND DEMO SESSIONS! Each AAAI 19 Poster/Demo Session will include posters by authors who have given or will give oral or spotlight presentations during the conference. Most are scheduled on the same evening as the oral presentation, or as close as possible in time. (Note that some oral paper presenters elected not to participate in the poster portion of the program.) Papers will be organized by primary subject areas in the poster/demo sessions and signs will be posted to designate clusters of subject areas. Posters will be arranged within subject area by paper ID numbers. Tuesday evening will also include Doctoral Consortium posters and EAAI-‐‑19 posters. A total of 15 technical demos and 90 student abstract posters will be divided among the three evening sessions. Eighteen student abstract posters, selected as finalists in the 3-‐‑Minute Presentation Award Contest, will be presented on Wednesday evening, and are designated by an * in the schedule. Please see the back cover for the general area where posters and demos will be available each evening. The code, such as ML1, preceding the paper code and title denotes the corresponding board position in the layout for that day. (Note that posters have been grouped with their proceedings content area, which may be different than their session name.) Tuesday, January 29 6:30 – 8:30 PM AI for Social Impact (AISI)

AISI332: Migration as Submodular Optimization (Special Track) Paul Goelz, Ariel D. Procaccia AISI436: Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length Serge Gaspers, Kamran Najeebullah AISI1457: Predicting Hurricane Trajectories Using a Recurrent Neural Network (Special Track) Sheila Alemany, Jonathan Beltran, Adrian Perez, Sam Ganzfried AISI2360: AutoZOOM: Autoencoder-‐‑Based Zeroth Order Optimization Method for Attacking Black-‐‑Box Neural Networks Chun-‐‑Chen Tu, Paishun Ting, Pin-‐‑Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-‐‑Jui Hsieh, Shin-‐‑Ming Cheng AISI2972: Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks Shuailong Liang, Olivia Nicol, Yue Zhang AISI3002: Emergency Department Online Patient-‐‑Caregiver Scheduling (Special Track) Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus AISI3315: EnsNet: Ensconce Text in the Wild Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai AISI3347: ReAl-‐‑LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs Sawan Kumar, Varsha Sreenivasan, Partha Talukdar, Franco Pestilli, Devarajan Sridharan AISI3453: Hotels-‐‑50K: A Global Hotel Recognition Dataset (Special Track) Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless AISI3580: Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder (Special Track) Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung AISI3586: Blameworthiness in Multi-‐‑Agent Settings Meir Friedenberg, Joseph Y. Halpern

AISI3696: Bias Reduction via End-‐‑to-‐‑End Shift Learning: Application to Citizen Science (Special Track) Di Chen, Carla P. Gomes AISI4235: Latent Dirichlet Allocation for Internet Price War Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong AISI4335: Multi-‐‑GCN: Graph Convolutional Networks for Multi-‐‑View Networks, with Applications to Global Poverty (Special Track) Muhammad Raza Khan, Joshua E. Blumenstock AISI4653: Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data (Special Track) Mike Li, Elija Perrier, Chang Xu AISI5023: Forbidden Nodes Aware Community Search Chaokun Wang, Junchao Zhu AISI5487: Understanding Dropouts in MOOCs (Special Track) Wenzheng Feng, Jie Tang, Tracy Xiao Liu AISI5611: Coverage Centrality Maximization in Undirected Networks Gianlorenzo D'Angelo, Martin Olsen, Lorenzo Severini AISI5951: HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews (Special Track) Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-‐‑Claude Martin, Chloé Clavel AISI6038: Exploiting Time-‐‑Series Image-‐‑to-‐‑Image Translation to Expand the Range of Wildlife Habitat Analysis (Special Track) Ruobing Zheng, Ze Luo, Baoping Yan AISI6537: CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison (Special Track) Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-‐‑Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng AISI6593: Algorithms for Estimating Trends in Global Temperature Volatility Arash Khodadadi, Daniel J. McDonald

AISI6672: Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant (Special Track) Johan Björck, Brendan H. Rapazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes AISI7013: Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi AISI7437: A Study of Educational Data Mining: Evidence from a Thai University (Special Track) Ruangsak Trakunphutthirak, Yen Cheung, Vincent C. S. Lee AISI7479: Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing Jill-‐‑Jênn Vie, Hisashi Kashima AISI7512: PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-‐‑Specific Deep ECG Classification Tomer Golany, Kira Radinsky AISI7815: Learning to Address Health Inequality in the United States with a Bayesian Decision Network (Special Track) Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh AI and the Web (AIW)

AIW325: Multi-‐‑View Information-‐‑Theoretic Co-‐‑Clustering for Co-‐‑Occurrence Data Peng Xu, Zhaohong Deng, Kup-‐‑Sze Choi, Longbing Cao, Shitong Wang AIW974: Dynamic Explainable Recommendation Based on Neural Attentive Models Xu Chen, Yongfeng Zhang, Zheng Qin AIW1169: TransNFCM: Translation-‐‑Based Neural Fashion Compatibility Modeling Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-‐‑Seng Chua AIW1386: Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-‐‑View Content Xiaolong Gong, Linpeng Huang, Fuwei Wang AIW1715: Outlier Aware Network Embedding for Attributed Networks Sambaran Bandyopadhyay, Lokesh N, M Narasimha Murty AIW1769: Structured and Sparse Annotations for Image Emotion Distribution Learning Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu AIW1853: ColNet: Embedding the Semantics of Web Tables for Column Type Prediction Jiaoyan Chen, Ernesto Jimenez-‐‑Ruiz, Ian Horrocks, Charles Sutton AIW1915: Deeply Fusing Reviews and Contents for Cold Start Users in Cross-‐‑Domain Recommendation Systems Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li AIW2650: CISI-‐‑Net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu AIW2795: Discrete Social Recommendation Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi

AIW2855: Cross-‐‑Relation Cross-‐‑Bag Attention for Distantly-‐‑Supervised Relation Extraction Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren AIW2930: Addressing the Under-‐‑Translation Problem from the Entropy Perspective Yang Zhao, Jiajun Zhang, Chengqing Zong, Zhongjun He, Hua Wu AIW2990: Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks Shizhu He, Kang Liu, Weiting An AIW2997: Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li AIW3125: Incorporating Network Embedding into Markov Random Field for Better Community Detection Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-‐‑Soulié, Tanmoy Chakraborty AIW3191: UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews Chun-‐‑Hsiang Wang, Kang-‐‑Chun Fan, Chuan-‐‑Ju Wang, Ming-‐‑Feng Tsai AIW3283: Cooperative Multimodal Approach to Depression Detection in Twitter Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen AIW3367: Multi-‐‑Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis Nan Xu, Wenji Mao, Guandan Chen AIW3790: ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, Ponnuswamy Sadayappan, Srinivasan Parthasarathy AIW3855: Regularizing Neural Machine Translation by Target-‐‑Bidirectional Agreement Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu AIW4013: Answer Identification from Product Reviews for User Questions by Multi-‐‑Task Attentive Networks Long Chen, Ziyu Guan, Wei Zhao, Wanqing Zhao, Xiaopeng Wang, Zhou Zhao, Huan Sun AIW4268: Community Focusing: Yet Another Query-‐‑Dependent Community Detection Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng AIW4306: Graph Convolutional Networks Meet Markov Random Fields: Semi-‐‑Supervised Community Detection in Attribute Networks Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang AIW4375: Comparative Document Summarisation via Classification Umanga Bista, Alexander Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie AIW4500: Crawling the Community Structure of Multiplex Networks Ricky Laishram, Jeremy D. Wendt, Sucheta Soundarajan

AIW4550: Supervised User Ranking in Signed Social Networks Xiaoming Li, Hui Fang, Jie Zhang AIW4589: Context-‐‑Aware Self-‐‑Attention Networks Baosong Yang, Jian LI, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu AIW4631: DTMT: A Novel Deep Transition Architecture for Neural Machine Translation Fandong Meng, Jinchao Zhang AIW4980: Unsupervised Neural Machine Translation with SMT as Posterior Regularization Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma Applications (APP)

APP81: PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data Patrick Schwab, Walter Karlen APP189: MetaStyle: Three-‐‑Way Trade-‐‑Off among Speed, Flexibility and Quality in Neural Style Transfer Chi Zhang, Yixin Zhu, Song-‐‑Chun Zhu APP669: A2-‐‑Net: Molecular Structure Estimation for Cryo-‐‑EM Density Volumes Kui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang APP723: Perceptual-‐‑Sensitive GAN for Generating Adversarial Patches Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao APP846: Differentially Private Empirical Risk Minimization with Smooth Non-‐‑Convex Loss Functions: A Non-‐‑Stationary View Di Wang, Jinhui Xu APP887: G2C: A Generator-‐‑to-‐‑Classifier Framework Integrating Multi-‐‑Stained Visual Cues for Pathological Glomerulus Classification Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun APP1036: Traffic Updates: Saying a Lot While Revealing a Little John Krumm, Eric Horvitz APP1086: Pathological Evidence Exploration in Deep Retinal Image Diagnosis Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng APP1181: Deep Latent Generative Models for Energy Disaggregation Gissella Bejarano, David DeFazio, Arti Ramesh APP1194: GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun APP1199: The Kelly Growth Optimal Portfolio with Ensemble Learning Weiwei Shen, Bin Wang, Jian Pu, Jun Wang APP1335: Deep Reinforcement Learning for Syntactic Error Repair in Student Programs Rahul Gupta, Aditya Kanade, Shirish Shevade

APP1362: Efficient Region Embedding with Multi-‐‑View Spatial Networks: A Perspective of Locality-‐‑Constrained Spatial Autocorrelations Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li APP1365: Combo-‐‑Action: Training Agent for FPS Game with Auxiliary Tasks Shiyu Huang, Hang Su, Jun Zhu, Tim Chen APP1370: Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang APP1498: TET-‐‑GAN: Text Effects Transfer via Stylization and Destylization Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo APP2189: Joint Representation Learning for Multi-‐‑Modal Transportation Recommendation Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong APP2297: Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks Steve T. K. Jan, Joseph C. E. Messou, Yen-‐‑Chen Lin, Jia-‐‑Bin Huang, Gang Wang APP2483: Scalable Robust Kidney Exchange Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson APP3131: Turbo Learning Framework for Human-‐‑Object Interactions Recognition and Human Pose Estimation Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu APP4329: Incorporating Semantic Similarity with Geographic Correlation for Query-‐‑POI Relevance Learning Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie APP4503: Spatiality Preservable Factored Poisson Regression for Large-‐‑Scale Fine-‐‑Grained GPS-‐‑Based Population Analysis Masamichi Shimosaka, Yuta Hayakawa, Kota Tsubouchi APP5150: Optimal Interdiction of Urban Criminals with the Aid of Real-‐‑Time Information Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-‐‑Thanh, Nicholas R. Jennings APP5163: Cash-‐‑Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi APP5790: Subtask Gated Networks for Non-‐‑Intrusive Load Monitoring Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee APP5965: VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri Cognitive Modeling (CM)

CM1534: Cognitive Deficit of Deep Learning in Numerosity Xiaolin Wu, Xi Zhang, Xiao Shu CM1732: TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-‐‑Coding Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen

CM5274: MPD-‐‑AL: An Efficient Membrane Potential Driven Aggregate-‐‑Label Learning Algorithm for Spiking Neurons Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li CM8106: Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi Cognitive Systems (CS)

CS1646: Simulation-‐‑Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases Abhishek Sharma, Keith M. Goolsbey CS4059: Attentive Tensor Product Learning Qiuyuan Huang, Li Deng, Dapeng Wu, Chang Liu, Xiaodong He CS5415: Scalable Recollections for Continual Lifelong Learning Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini CS6279: Human-‐‑Like Sketch Object Recognition via Analogical Learning Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus CS7159: Modelling Autobiographical Memory Loss across Life Span Di Wang, Ah-‐‑Hwee Tan, Chunyan Miao, Ahmed A. Moustafa Constraint Satisfaction and Optimization (CSO)

CSO464: BIRD: Engineering an Efficient CNF-‐‑XOR SAT Solver and Its Applications to Approximate Model Counting Mate Soos, Kuldeep S. Meel CSO1609: Stochastic Submodular Maximization with Performance-‐‑Dependent Item Costs Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-‐‑ichi Kawarabayashi CSO2770: Melding the Data-‐‑Decisions Pipeline: Decision-‐‑Focused Learning for Combinatorial Optimization Bryan Wilder, Bistra Dilkina, Milind Tambe CSO3682: Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface Qiao Xiang, Haitao Yu, James Aspnes, Franck Le, Linghe Kong, Y. Richard Yang CSO3797: Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-‐‑Convex Optimization Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song CSO4189: On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem Igor Molybog, Javad Lavaei CSO4499: Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-‐‑Martin Rousseau Computational Sustainability (CSUS)

CSUS: 753: A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang CSUS: 1177: Deep Bayesian Optimization on Attributed Graphs Jiaxu Cui, Bo Yang, Xia Hu

CSUS: 1790: Deep Reinforcement Learning for Green Security Games with Real-‐‑Time Information Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang CSUS: 3826: A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla CSUS: 6971: Interpretable Predictive Modeling for Climate Variables with Weighted Lasso Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee Game Playing and Interactive Entertainment (GPIE)

GPIE1006: Regular Boardgames Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykuła Game Theory and Economic Paradigms (GTEP)

GTEP83: Fairly Allocating Many Goods with Few Queries Hoon Oh, Ariel D. Procaccia, Warut Suksompong GTEP188: Low-‐‑Distortion Social Welfare Functions Gerdus Benade, Ariel D. Procaccia, Mingda Qiao GTEP451: Solving Imperfect-‐‑Information Games via Discounted Regret Minimization (AAAI-‐‑19 Outstanding Paper, Honorable Mention) Noam Brown, Tuomas Sandholm GTEP503: Convergence of Learning Dynamics in Information Retrieval Games Omer Ben-‐‑Porat, Itay Rosenberg, Moshe Tennenholtz GTEP602: Distributionally Adversarial Attack Tianhang Zheng, Changyou Chen, Kui Ren GTEP607: Object Reachability via Swaps along a Line Sen Huang, Mingyu Xiao GTEP1051: Revenue Enhancement Via Asymmetric Signaling in Interdependent-‐‑Value Auctions Zhuoshu Li, Sanmay Das GTEP1248: Pareto-‐‑Optimal Allocation of Indivisible Goods with Connectivity Constraints Ayumi Igarashi, Dominik Peters GTEP1332: The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining Colleen Alkalay-‐‑Houlihan, Nisarg Shah GTEP1538: Online Pandora's Boxes and Bandits Hossein Esfandiari, MohammadTaghi HajiAghayi, Brendan Lucier, Michael Mitzenmacher GTEP1984: Forming Probably Stable Communities with Limited Interactions Ayumi Igarashi, Jakub Sliwinski, Yair Zick GTEP2170: On Rational Delegations in Liquid Democracy Daan Bloembergen, Davide Grossi, Martin Lackner GTEP2254: Fair Division with a Secretive Agent Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi GTEP2402: A Better Algorithm for Societal Tradeoffs Hanrui Zhang, Yu Cheng, Vincent Conitzer

GTEP2405: Very Hard Electoral Control Problems Zack Fitzsimmons, Edith Hemaspaandra, Alexander Hoover, David Narvaez GTEP2527: Defending Elections against Malicious Spread of Misinformation Bryan Wilder, Yevgeniy Vorobeychik GTEP2735: Solving Large Extensive-‐‑Form Games with Strategy Constraints Trevor Davis, Kevin Waugh, Michael Bowling GTEP3316: A Framework for Approval-‐‑Based Budgeting Methods Nimrod Talmon, Piotr Faliszewski GTEP3351: Approximation and Hardness of Shift-‐‑Bribery Piotr Faliszewski, Pasin Manurangsi, Krzysztof Sornat GTEP3395: How Similar Are Two Elections? Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon GTEP3663: Group Fairness for the Allocation of Indivisible Goods Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan GTEP3671: An Equivalence between Wagering and Fair-‐‑Division Mechanisms Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan GTEP3783: From Recommendation Systems to Facility Location Games Omer Ben-‐‑Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz GTEP3886: Fair and Efficient Memory Sharing: Confronting Free Riders Eric J. Friedman, Vasilis Gkatzelis, Christos-‐‑Alexandros Psomas, Scott Shenker GTEP3999: Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice Brandon Fain, Ashish Goel, Kamesh Munagala, Nina Prabhu GTEP4685: Quasi-‐‑Perfect Stackelberg Equilibrium Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm Humans and AI (HAI)

HAI3669: CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer HAI5717: AI-‐‑Sketcher: A Deep Generative Model for Producing High-‐‑Quality Sketches Nan Cao, Xin Yan, Yang Shi, Chaoran Chen Knowledge Representation and Reasoning (KRR)

KRR115: Disjunctive Normal Form for Multi-‐‑Agent Modal Logics Based on Logical Separability Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen KRR183: Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory Bart Bogaerts

KRR444: Tracking Logical Difference in Large-‐‑Scale Ontologies: A Forgetting-‐‑Based Approach Yizheng Zhao, Ghadah Alghamdi, Renate A. Schmidt, Hao Feng, Giorgos Stoilos, Damir Juric, Mohammad Khodadadi KRR844: Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees Alexander Bagnall, Gordon Stewart KRR930: TransGate: Knowledge Graph Embedding with Shared Gate Structure Jun Yuan, Neng Gao, Ji Xiang KRR1108: Amalgamating Knowledge towards Comprehensive Classification Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song KRR1147: Complexity of Abstract Argumentation under a Claim-‐‑Centric View Wolfgang Dvorak, Stefan Woltran KRR1830: Partial Awareness Joseph Y. Halpern, Evan Piermont KRR2298: Abstracting Causal Models Sander Beckers, Joseph Y. Halpern KRR2375: Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky KRR2522: Knowledge Refinement via Rule Selection Phokion G. Kolaitis, Lucian Popa, Kun Qian KRR2886: Extension Removal in Abstract Argumentation — An Axiomatic Approach Ringo Baumann, Gerhard Brewka KRR3090: Reasoning over Assumption-‐‑Based Argumentation Frameworks via Direct Answer Set Programming Encodings Tuomo Lehtonen, Johannes Peter Wallner, Matti Järvisalo KRR3144: Qualitative Spatial Logic over 2D Euclidean Spaces is Not Finitely Axiomatisable Heshan Du, Natasha Alechina KRR3218: Argumentation for Explainable Scheduling Kristijonas Cyras, Dimitrios Letsios, Ruth Misener, Francesca Toni KRR3616: Model-‐‑Based Diagnosis for Cyber-‐‑Physical Production Systems Based on Machine Learning and Residual-‐‑Based Diagnosis Models Andreas Bunte, Benno Stein, Oliver Niggemann KRR3779: SAT-‐‑Based Explicit LTLf Satisfiability Checking Jianwen Li, Kristin Y. Rozier, Geguang Pu, Yueling Zhang, Moshe Y. Vardi KRR4478: Recursively Learning Causal Structures Using Regression-‐‑Based Conditional Independence Test Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang KRR4601: Belief Change and Non-‐‑Monotonic Reasoning sans Compactness Jandson S. Ribeiro, Abhaya Nayak, Renata Wasserman KRR4677: Validation of Growing Knowledge Graphs by Abductive Text Evidences Jianfeng Du, Jeff Z. Pan, Sylvia Wang, Kunxun Qi, Yuming Shen, Yu Deng

KRR4918: A Sequential Set Generation Method for Predicting Set-‐‑Valued Outputs Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock KRR5756: Implanting Rational Knowledge into Distributed Representation at Morpheme Level Zi Lin, Yang Liu KRR5901: From Horn-‐‑SRIQ to Datalog: A Data-‐‑Independent Transformation that Preserves Assertion Entailment David Carral, Larry González, Patrick Koopmann KRR7022: Minimum Intervention Cover of a Causal Graph Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar Multiagent Systems (MAS)

MAS428: TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-‐‑Agents Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha Machine Learning (ML)

ML74: Transferable Curriculum for Weakly-‐‑Supervised Domain Adaptation Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang ML235: A Sharper Generalization Bound for Divide-‐‑and-‐‑Conquer Ridge Regression Shusen Wang ML277: Revisiting Spatial-‐‑Temporal Similarity: A Deep Learning Framework for Traffic Prediction Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li ML328: How Does Knowledge of the AUC Constrain the Set of Possible Ground-‐‑Truth Labelings? Jacob Whitehill ML330: Sensitivity Analysis of Deep Neural Networks Hai Shu, Hongtu Zhu ML487: Adversarial Dropout for Recurrent Neural Networks Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-‐‑Chul Moon ML779: Sublinear Time Numerical Linear Algebra for Structured Matrices Xiaofei Shi, David P. Woodruff ML994: Efficient and Effective Incomplete Multi-‐‑View Clustering Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao ML1004: Multi-‐‑Dimensional Classification via kNN Feature Augmentation Bin-‐‑Bin Jia, Min-‐‑Ling Zhang ML1031: Spatiotemporal Multi-‐‑Graph Convolution Network for Ride-‐‑Hailing Demand Forecasting Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu ML1110: Similarity Learning via Kernel Preserving Embedding Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu ML1117: Cross-‐‑Domain Visual Representations via Unsupervised Graph Alignment Baoyao Yang, PongChi Yuen

ML1150: Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-‐‑View Clustering Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu ML1292: GeniePath: Graph Neural Networks with Adaptive Receptive Paths Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi ML1320: Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David Lobell, Stefano Ermon ML1369: Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees Lei Luo, Jie Xu, Cheng Deng, Heng Huang ML1395: Virtual-‐‑Taobao: Virtualizing Real-‐‑World Online Retail Environment for Reinforcement Learning Jing-‐‑Cheng Shi, Yang Yu, Qing Da, Shi-‐‑Yong Chen, An-‐‑Xiang Zeng ML1450: Temporal Anomaly Detection: Calibrating the Surprise Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer ML1468: The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes Stanislav Fort, Adam Scherlis ML1496: Knowledge Distillation with Adversarial Samples Supporting Decision Boundary Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi ML1512: Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi ML1553: Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri ML1568: Mutigrid Backprojection Super-‐‑Resolution and Deep Filter Visualization Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu ML1575: Capacity Control of ReLU Neural Networks by Basis-‐‑Path Norm Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-‐‑Yan Liu ML1652: On Fair Cost Sharing Games in Machine Learning Ievgen Redko, Charlotte Laclau ML1990: From Zero-‐‑Shot Learning to Cold-‐‑Start Recommendation Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang ML2013: A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo ML2303: Trainable Undersampling for Class-‐‑Imbalance Learning Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-‐‑Gang Jiang, Keyu Ding, Zhigang Chen ML2344: The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-‐‑Based Clustering Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik

ML2345: CNN-‐‑Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks Akhilan Boopathy, Tsui-‐‑Wei Weng, Pin-‐‑Yu Chen, Sijia Liu, Luca Daniel ML2374: Predicting Urban Dispersal Events: A Two-‐‑Stage Framework through Deep Survival Analysis on Mobility Data Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li ML2458: Eliminating Latent Discrimination: Train Then Mask Soheil Ghili, Ehsan Kazemi, Amin Karbasi ML2579: Robust Anomaly Detection in Videos Using Multilevel Representations Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Phung ML2683: A Distillation Approach to Data Efficient Individual Treatment Effect Estimation Maggie Makar, Adith Swaminathan, Emre Kiciman ML2749: Learning Adaptive Random Features Yanjun Li, Kai Zhang, Jun Wang, Sanjiv Kumar ML2793: Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations Atsutoshi Kumagai, Tomoharu Iwata ML2813: Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin ML2934: Cogra: Concept-‐‑Drift-‐‑Aware Stochastic Gradient Descent for Time-‐‑Series Forecasting Kohei Miyaguchi, Hiroshi Kajino ML2973: Improving Domain-‐‑Specific Classification by Collaborative Learning with Adaptation Networks Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-‐‑San Wong ML3035: Deep Neural Network Quantization via Layer-‐‑Wise Optimization Using Limited Training Data Shangyu Chen, Wenya Wang, Sinno Jialin Pan ML3040: AFS: An Attention-‐‑Based Mechanism for Supervised Feature Selection Ning Gui, Danni Ge, Ziyin Hu ML3088: On-‐‑Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters Mark Kozdoba, Jakub Marecek, Tigran Tchrakian, Shie Mannor ML3154: SCFont: Structure-‐‑Guided Chinese Font Generation via Deep Stacked Networks Yue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao ML3173: Coreset Stochastic Variance-‐‑Reduced Gradient with Application to Optimal Margin Distribution Machine Zhi-‐‑Hao Tan, Teng Zhang, Wei Wang ML3193: Unsupervised Domain Adaptation Based on Source-‐‑Guided Discrepancy Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama ML3233: Theoretical Analysis of Label Distribution Learning Jing Wang, Xin Geng ML3255: Hierarchical Classification Based on Label Distribution Learning Changdong Xu, Xin Geng

ML3350: A Powerful Global Test Statistic for Functional Statistical Inference Jingwen Zhang, Joseph Ibrahim, Tengfei Li, Hongtu Zhu ML3427: Interpretation of Neural Networks Is Fragile Amirata Ghorbani, Abubakar Abid, James Zou ML3463: Weisfeiler and Leman Go Neural: Higher-‐‑Order Graph Neural Networks Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe ML3625: Deep Metric Learning by Online Soft Mining and Class-‐‑Aware Attention Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil M. Robertson ML3692: Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin ML3752: Explicitly Imposing Constraints in Deep Networks Via Conditional Gradients Gives Improved Generalization and Faster Convergence Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh ML3875: Random Feature Maps for the Itemset Kernel Kyohei Atarashi, Subhransu Maji, Satoshi Oyama ML3900: Network Recasting: A Universal Method for Network Architecture Transformation Joonsang Yu, Sungbum Kang, Kiyoung Choi ML4020: Exploiting Local Feature Patterns for Unsupervised Domain Adaptation Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan ML4049: QUOTA: The Quantile Option Architecture for Reinforcement Learning Shangtong Zhang, Hengshuai Yao ML4066: Complex Moment-‐‑Based Supervised Eigenmap for Dimensionality Reduction Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai ML4240: Precision-‐‑Recall versus Accuracy and the Role of Large Data Sets Brendan Juba, Hai S. Le ML4315: Large-‐‑Scale Heterogeneous Feature Embedding Xiao Huang, Qingquan Song, Fan Yang, Xia Hu ML4320: The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody ML4374: Covariate Shift Adaptation on Learning from Positive and Unlabeled Data Tomoya Sakai, Nobuyuki Shimizu ML4389: ClusterGAN: Latent Space Clustering in Generative Adversarial Networks Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan ML4404: Biomedical Image Segmentation via Representative Annotation Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

ML4477: Self-‐‑Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation Yonghao Xu, Du Bo, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang ML4483: Approximate Kernel Selection with Strong Approximate Consistency Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao ML4495: RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications Huan Zhang, Pengchuan Zhang, Cho-‐‑Jui Hsieh ML4557: Devil in the Details: Towards Accurate Single and Multiple Human Parsing Tao Ruan, Ting Liu, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao ML4563: Linear Kernel Tests via Empirical Likelihood for High Dimensional Data Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao ML4583: Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue Junyu Cao, Wei Sun ML4720: X-‐‑DMM: Fast and Scalable Model Based Text Clustering Linwei Li, Liangchen Guo, Zhenying He, Yinan Jing, X. Sean Wang ML4799: Aligning Domain-‐‑Specific Distribution and Classifier for Cross-‐‑Domain Classification from Multiple Sources Yongchun Zhu, Fuzhen Zhuang, Deqing Wang ML5218: Multiple Independent Subspace Clusterings Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo ML5296: An Exponential Tail Bound for the Deleted Estimate Karim Abou-‐‑Moustafa, Csaba Szepesvari ML5474: Composable Modular Reinforcement Learning Christopher Simpkins, Charles Isbell ML5579: Efficient and Scalable Multi-‐‑Task Regression on Massive Number of Tasks Xiao He, Francesco Alesiani, Ammar Shaker ML5583: Interactive Attention Transfer Network for Cross-‐‑Domain Sentiment Classification Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen ML5666: Multi-‐‑Task Deep Reinforcement Learning with PopArt Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt ML5715: SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Yiyu Shi ML5809: Communication-‐‑Optimal Distributed Dynamic Graph Clustering Chun Jiang Zhu, Tan Zhu, Kam-‐‑Yiu Lam, Song Han, Jinbo Bi ML5886: A Probabilistic Derivation of LASSO and L12-‐‑Norm Feature Selections Di Ming, Chris Ding, Feiping Nie

ML5910: Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis Rung-‐‑Tzuo Liaw, Chuan-‐‑Kang Ting ML6141: On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset Amber Srivastava, Mayank Baranwal, Srinivasa Salapaka ML6196: Near-‐‑Neighbor Methods in Random Preference Completion Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia ML6288: Non-‐‑Parametric Transformation Networks for Learning General Invariances from Data Dipan K. Pal, Marios Savvides ML6296: Guided Dropout Rohit Keshari, Richa Singh, Mayank Vatsa ML6399: Learning Multi-‐‑Task Communication with Message Passing for Sequence Learning Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung ML6445: Incomplete Label Multi-‐‑Task Deep Learning for Spatio-‐‑Temporal Event Subtype Forecasting Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang ML6491: Robust Negative Sampling for Network Embedding Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu ML6509: Efficient Online Learning for Mapping Kernels on Linguistic Structures Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti ML6544: Learning Triggers for Heterogeneous Treatment Effects Christopher Tran, Elena Zheleva ML6594: Non-‐‑Asymptotic Uniform Rates of Consistency for k-‐‑NN Regression Heinrich Jiang ML6632: Orderly Subspace Clustering Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi ML6721: Towards Non-‐‑Saturating Recurrent Units for Modelling Long-‐‑Term Dependencies Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio ML6747: Dimension-‐‑Free Error Bounds from Random Projections Ata Kaban ML7015: Multi-‐‑Fidelity Automatic Hyper-‐‑Parameter Tuning via Transfer Series Expansion Yi-‐‑Qi Hu, Yang Yu, Wei-‐‑Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai ML7117: Network Structure and Transfer Behaviors Embedding via Deep Prediction Model Xin Sun, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant, Christian Böhm ML7403: Tensor Decomposition for Multilayer Networks Clustering Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu

ML7476: High Dimensional Clustering with r-‐‑Nets Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer ML7564: Nearest-‐‑Neighbour-‐‑Induced Isolation Similarity and Its Impact on Density-‐‑Based Clustering Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent CS Lee ML7577: An Efficient Approach to Informative Feature Extraction from Multimodal Data Lichen Wang, Jiaxiang Wu, Shao-‐‑Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang ML7833: Accurate and Interpretable Factorization Machines Liang Lan, Yu Geng ML7954: Universal Approximation Property and Equivalence of Stochastic Computing-‐‑Based Neural Networks and Binary Neural Networks Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin ML7996: Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning Hao Yu, Sen Yang, Shenghuo Zhu ML8103: Bounding Uncertainty for Active Batch Selection Hanmo Wang, Runwu Zhou, Yi-‐‑Dong Shen Natural Language Processing (NLP)

NLP142: Leveraging Web Semantic Knowledge in Word Representation Learning Haoyan Liu, Lei Fang, Jian-‐‑Guang Lou, Zhoujun Li NLP149: FAnDa: A Novel Approach to Perform Follow-‐‑Up Query Analysis Qian Liu, Bei Chen, Jian-‐‑Guang Lou, Ge Jin, Dongmei Zhang NLP289: Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning Chengyu Wang, Xiaofeng He, Aoying Zhou NLP674: Learning to Embed Sentences Using Attentive Recursive Trees Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang NLP915: Hybrid Attention-‐‑Based Prototypical Networks for Noisy Few-‐‑Shot Relation Classification Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun NLP1126: An Affect-‐‑Rich Neural Conversational Model with Biased Attention and Weighted Cross-‐‑Entropy Loss Peixiang Zhong, Di Wang, Chunyan Miao NLP1157: A Hierarchical Framework for Relation Extraction with Reinforcement Learning Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang NLP1200: Zero-‐‑Shot Adaptive Transfer for Conversational Language Understanding Sungjin Lee, Rahul Jha NLP1484: Gaussian Transformer: A Lightweight Approach for Natural Language Inference Maosheng Guo, Yu Zhang, Ting Liu NLP1636: LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun

NLP2007: Response Generation by Context-‐‑Aware Prototype Editing Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou NLP2012: Explicit Interaction Model towards Text Classification Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie NLP2409: What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev NLP2498: Improving Natural Language Inference Using External Knowledge in the Science Questions Domain Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock NLP2744: Re-‐‑Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses Ananya Sai B, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan NLP3093: Data Augmentation for Spoken Language Understanding via Joint Variational Generation Kang Min Yoo, Youhyun Shin, Sang-‐‑goo Lee NLP3205: Hierarchical Encoder with Auxiliary Supervision for Table-‐‑to-‐‑Text Generation: Learning Better Representation for Tables Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui NLP3207: SAM-‐‑Net: Integrating Event-‐‑Level and Chain-‐‑Level Attentions to Predict What Happens Next Shangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, Songlin Hu NLP3210: Title-‐‑Guided Encoding for Keyphrase Generation Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu NLP3231: Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning Ziming Li, Julia Kiseleva, Maarten de Rijke NLP3243: Multi-‐‑Labeled Relation Extraction with Attentive Capsule Network Xinsong Zhang, Pengshuai Li, Weijia Jia, Hai Zhao NLP3384: A Multi-‐‑Agent Communication Framework for Question-‐‑Worthy Phrase Extraction and Question Generation Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang NLP3408: Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment Vivian S. Silva, André Freitas, Siegfried Handschuh NLP3489: Deep Cascade Multi-‐‑Task Learning for Slot Filling in Online Shopping Assistant Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen NLP3648: COALA: A Neural Coverage-‐‑Based Approach for Long Answer Selection with Small Data Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych NLP4052: ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-‐‑Constrained Neural Machine Translation J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme

NLP4175: What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks Haohan Wang, Da Sun, Eric P. Xing NLP4246: Exploiting the Ground-‐‑Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection Jian Liu, Yubo Chen, Kang Liu NLP4423: Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation Juntao Li, Lisong Qiu, Bo Tang, Dongmin Chen, Dongyan Zhao, Rui Yan NLP5092: A Unified Model for Opinion Target Extraction and Target Sentiment Prediction Xin Li, Lidong Bing, Piji Li, Wai Lam NLP5120: Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces Victor Prokhorov, Mohammam Taher Pilehvar, Dimitri Kartsaklis, Pietro Lió, Nigel Collier NLP5576: GIRNet: Interleaved Multi-‐‑Task Recurrent State Sequence Models Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti NLP5658: Plan-‐‑and-‐‑Write: Towards Better Automatic Storytelling Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan NLP5766: A Neural Network Approach to Verb Phrase Ellipsis Resolution Wei-‐‑Nan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu NLP5846: A Pattern-‐‑Based Approach to Recognizing Time Expressions Wentao Ding, Guanji Gao, Linfeng Shi, Yuzhong Qu NLP5882: A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility Changsheng Liu, Rebecca Hwa NLP5972: AutoSense Model for Word Sense Induction Reinald Kim Amplayo, Seung-‐‑won Hwang, Min Song NLP6140: Analyzing Compositionality-‐‑Sensitivity of NLI Models Yixin Nie, Yicheng Wang, Mohit Bansal NLP6192: Combining Fact Extraction and Verification with Neural Semantic Matching Networks Yixin Nie, Haonan Chen, Mohit Bansal NLP6354: Fast PMI-‐‑Based Word Embedding with Efficient Use of Unobserved Patterns Behrouz Haji Soleimani, Stan Matwin NLP6510: Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector Shanchan Wu, Kai Fan, Qiong Zhang Planning, Routing, and Scheduling (PRS)

PRS2680: Distribution-‐‑Based Semi-‐‑Supervised Learning for Activity Recognition Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

PRS3542: Learning Resource Allocation and Pricing for Cloud Profit Maximization Bingqian Du, Chuan Wu, Zhiyi Huang PRS4026: Acting and Planning Using Operational Models Sunandita Patra, Malik Ghallab, Dana Nau, Paolo Traverso Robotics (ROB)

ROB166: Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-‐‑Chun Zhu ROB6894: MotionTransformer: Transferring Neural Inertial Tracking between Domains Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni Vision (VIS)

VIS176: Object Detection Based on Region Decomposition and Assembly Seung-‐‑Hwan Bae VIS234: Learning Resolution-‐‑Invariant Deep Representations for Person Re-‐‑Identification Yun-‐‑Chun Chen, Yu-‐‑Jhe Li, Xiaofei Du, Yu-‐‑Chiang Frank Wang VIS323: Deep Video Frame Interpolation Using Cyclic Frame Generation Yu-‐‑Lun Liu, Yi-‐‑Tung Liao, Yen-‐‑Yu Lin, Yung-‐‑Yu Chuang VIS395: Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-‐‑Hwee Lim VIS403: Unsupervised Meta-‐‑Learning of Figure-‐‑Ground Segmentation via Imitating Visual Effects Ding-‐‑Jie Chen, Jui-‐‑Ting Chien, Hwann-‐‑Tzong Chen, Tyng-‐‑Luh Liu VIS717: Scene Text Recognition from Two-‐‑Dimensional Perspective Minghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Pengyuan Lyu, Cong Yao, Xiang Bai VIS786: Energy Confused Adversarial Metric Learning for Zero-‐‑Shot Image Retrieval and Clustering Binghui Chen, Weihong Deng VIS1010: Learning to Localize Objects with Noisy Labeled Instances Xiaopeng Zhang, Yang Yang, Jiashi Feng VIS1020: To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression Yitian Yuan, Tao Mei, Wenwu Zhu VIS1076: Multi-‐‑Scale 3D Convolution Network for Video Based Person Re-‐‑Identification Jianing Li, Shiliang Zhang, Tiejun Huang VIS1121: A Bottom-‐‑Up Clustering Approach to Unsupervised Person Re-‐‑Identification Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, Yi Yang VIS1128: 3D Object Detection Using Scale Invariant and Feature Reweighting Networks Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang

VIS1317: Weakly Supervised Scene Parsing with Point-‐‑Based Distance Metric Learning Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas Huang VIS1396: Cycle-‐‑SUM: Cycle-‐‑Consistent Adversarial LSTM Networks for Unsupervised Video Summarization Li Yuan, Francis EH Tay, Ping Li, Li Zhou, Jiashi Feng VIS1407: Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot VIS1410: Hierarchical Attention Network for Image Captioning Weixuan Wang, Zhihong Chen, Haifeng Hu VIS1469: Learning to Compose Topic-‐‑Aware Mixture of Experts for Zero-‐‑Shot Video Captioning Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang VIS1723: Scene Text Detection with Supervised Pyramid Context Network Enze Xie, Yuhang Zang, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li VIS1748: Gradient Harmonized Single-‐‑Stage Detector Buyu Li, Yu Liu, Xiaogang Wang VIS1993: Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu VIS2025: M2Det: A Single-‐‑Shot Object Detector Based on Multi-‐‑Level Feature Pyramid Network Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling VIS2080: Discriminative Feature Learning for Unsupervised Video Summarization Yunjae Jung, Donghyeon Cho, Dahun Kim, Sanghyun Woo, In So Kweon VIS2087: View Inter-‐‑Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions Zhizhong Han, Mingyang Shang, Yu-‐‑Shen Liu, Matthias Zwicker VIS2101: MeshNet: Mesh Neural Network for 3D Shape Representation Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao VIS2135: Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse Kaihao Zhang, Wenhan Luo, Lin Ma, Hongdong Li VIS2277: Temporal Deformable Convolutional Encoder-‐‑Decoder Networks for Video Captioning Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei VIS2278: Visual-‐‑Semantic Graph Reasoning for Pedestrian Attribute Recognition Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang VIS2649: Sparse Adversarial Perturbations for Videos Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su VIS2789: Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang

VIS2939: MLVCNN: Multi-‐‑Loop-‐‑View Convolutional Neural Network for 3D Shape Retrieval Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao VIS3014: MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization Zengyi Qin, Jinglu Wang, Yan Lu VIS3027: DeRPN: Taking a Further Step toward More General Object Detection Lele Xie, Yuliang Liu, Lianwen Jin, Zecheng Xie VIS3404: Temporal Bilinear Networks for Video Action Recognition Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu VIS3540: Attentive Temporal Pyramid Network for Dynamic Scene Classification Yuanjun Huang, Xianbin Cao, Xiantong Zhen, Jungong Han VIS4198: Angular Triplet-‐‑Center Loss for Multi-‐‑View 3D Shape Retrieval Zhaoqun Li, Cheng Xu, Biao Leng VIS4561: What and Where the Themes Dominate in Image Xinyu Xiao, Lingfeng Wang, Shiming Xiang, Chunhong Pan VIS5461: Deep Embedding Features for Salient Object Detection Yunzhi Zhuge, Yu Zeng, Huchuan Lu VIS6098: Large-‐‑Scale Visual Relationship Understanding Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny Doctoral Consortium

DC127: Attention Guided Imitation Learning and Reinforcement Learning Ruohan Zhang DC130: Reinforcement Learning for Improved Low Resource Dialogue Systems Ana Valeria Gonzalez-‐‑Garduño DC133: Multi-‐‑Agent Coordination under Uncertain Communication Nikhil Bhargava DC135: Numerical Optimization to AI, and Back Sathya N. Ravi DC140: Adaptive Modeling for Risk-‐‑Aware Decision Making Sandhya Saisubramanian DC142: Multi-‐‑View Learning from Disparate Sources for Poverty Mapping Neeti Pokhriyal DC154: Goal Recognition Design with Stochastic Agent Action Outcomes Christabel Wayllace DC155: Expressive Real-‐‑Time Intersection Scheduling Rick Goldstein DC159: Counterfactual Reasoning in Observational Studies Negar Hassanpour DC160: Imitation Learning from Observation Faraz Torabi

DC164: Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-‐‑Robot Collaborative Tasks Christopher K. Fourie DC166: Multi-‐‑Agent Pathfinding in Complex Domains Thayne T. Walker DC168: A Theory of State Abstraction for Reinforcement Learning David Abel DC177: Verifiable and Interpretable Reinforcement Learning through Program Synthesis Abhinav Verma DC179: Parameterized Heuristics for Incomplete Weighted CSPs Atena M Tabakhi DC184: Learning Generalized Temporal Abstractions Across Both Action and Perception Khimya Khetarpal DC187: Robust Graph Covering with an Application to Suicide Prevention Aida Rahmattalabi DC190: Using Automated Agents to Teach Negotiation Emmanuel Johnson EAAI-‐‑19

EAAI16: Lightning Talk: Artificial Intelligence Competencies for Data Science Undergraduate Curricula Andrea Danyluk, Scott Buck EAAI55: Lightning Talk: Khan Academy: A Social Networking and Community Q&A Perspective Sneha Mondal, Akshay Gugnani, Renuka Sindhgatta Student Abstracts

SA31: Improving Full-‐‑Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Bert-‐‑Jan F. van Beijnum, Peter H. Veltink SA77: Cross-‐‑Domain Recommendation via Coupled Factorization Machines Lile Li, Quan Do, Wei Liu SA143: Jointly Multiple Hash Learning Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin SA150: Location-‐‑Based End-‐‑to-‐‑End Speech Recognition with Multiple Language Models Zhijie Lin, Kaiyang Lin, Shiling Chen, Linlin Li, Zhou Zhao SA195: Higher-‐‑Order Multi-‐‑Layer Community Detection Ling Huang, Chang-‐‑Dong Wang, Hong-‐‑Yang Chao SA209: Deep Reinforcement Learning via Past-‐‑Success Directed Exploration Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang SA210: Emergency Department Online Patient-‐‑Caregiver Scheduling Hanan Rosemarin, Ariel Rosenfeld, Sarit Kraus

SA211: Mind Your Language: Abuse and Offense Detection for Code-‐‑Switched Languages Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann SA213: Towards to Reasonable Decision Basis in Automatic Bone X-‐‑ray Image Classification: A Weakly-‐‑Supervised Approach Jianjie Lu, Kai-‐‑Yu Tong SA214: Binary Classifier Inspired by Quantum Theory Prayag Tiwari, Massimo Melucci SA217: A Meta-‐‑Learning Approach for Custom Model Training Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram SA223: Manifold Distance-‐‑Based Over-‐‑Sampling Technique for Class Imbalance Learning Lingkai Yang, Yinan Guo, Jian Cheng SA226: Robust Facial Landmark Localization Based on Two-‐‑Stage Cascaded Pose Regression Ziye Tong, Junwei Zhou, Yanchao Yang, Lee-‐‑Ming Cheng SA228: Heterogeneous Attributed Network Embedding with Graph Convolutional Networks Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang SA230: Learning Flexible Latent Representations via Encapsulated Variational Encoders Wenjun Bai, Changqin Quan, Zhi-‐‑Wei Luo SA231: Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction Ashwini Tonge, Cornelia Caragea SA234: Parameterized Heuristics for Incomplete Weighted CSPs Atena M. Tabekhi SA236: A Feasibility Test on Preventing PRMDs Based on Deep Learning So-‐‑Hyun Park, Sun-‐‑Young Ihm, Aziz Nasridinov, Young-‐‑Ho Park SA254: An Imperfect Algorithm for Coalition Structure Generation Narayan Changder, Samir Aknine, Animesh Dutta SA259: Building Human-‐‑Machine Trust via Interpretability Umang Bhatt, Pradeep Ravikumar, José M. F. Moura SA265: Efficient Neutrino Oscillation Parameter Inference with Gaussian Process Lingge Li, Nitish Nayak, Jianming Bian, Pierre Baldi SA268: Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System Younkook Kang, Sungwon Lyu, Jeeyung Kim, Bongjoon Park, Sungzoon Cho SA272: Implementation of Boolean AND and OR Logic Gates with Biologically Reasonable Time Constants in Spiking Neural Networks Lakshay Sahni, Debasrita Chakraborty, Ashish Ghosh SA273: An SVM-‐‑Based Framework for Long-‐‑Term Learning Systems Diana Benavides-‐‑Prado

SA279: Learning Document Embeddings with Crossword Prediction Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai SA280: A Multi-‐‑Task Learning Framework for Abstractive Text Summarization Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel SA283: AVS-‐‑Net: Automatic Visual Surveillance Using Relation Network Sein Jang, Young-‐‑Ho Park, Aziz Nasridinov SA288: SAX Breakpoints for Random Forest Based Real-‐‑Time Contrast Control Chart In-‐‑Seok Lee, Jun-‐‑Geol Baek SA293: A Multi-‐‑Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset Wenyu Du, Baocheng Li, Min Yang, Qiang Qu, Ying Shen SA295: Sequence to Sequence Learning for Query Expansion Salah Zaiem, Fatiha Sadat SA383: On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components Gaku Morio, Katsuhide Fujita Demos

DEMO281: DBA: Dynamic Multi-‐‑Armed Bandit Algorithm Sadegh Nobari DEMO302: Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search Daniel Rotman, Dror Porat, Yevgeny Burshtein, Udi Barzelay DEMO368: Global Remote Operation of Intelligent Space Robot Assistants Daniel Leidner, Peter Schmaus, Florian Schmidt, Benedikt Pleintinger, Ralph Bayer, Adrian S. Bauer, Thomas Krueger, Neal Y. Lii DEMO376: The Rensselaer Mandarin Project -‐‑ A Cognitive and Immersive Language Learning Environment David Allen, Rahul R. Divekar, Jaimie Drozdal, Lilit Balagyozyan, Shuyue Zheng, Ziyi Song, Huang Zou, Jeramey Tyler, Xiangyang Mou, Rui Zhao, Helen Zhou, Jianling Yue, Jeffrey O. Kephart, Hui Su DEMO433: Academic Reader: An Interactive Question Answering System on Academic Literatures Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang

Wednesday, January 30 6:30 – 8:30 PM AI for Social Impact (AISI)

AISI1919: Selecting Compliant Agents for Opt-‐‑In Micro-‐‑Tolling (Special Track) Josiah P. Hanna, Guni Sharon, Stephan D. Boyles, Peter Stone AISI3795: Violence Rating Prediction from Movie Scripts (Special Track) Victor R. Martinez Palacios, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth Narayanan AISI4115: Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning Bowen Pan, Shangfei Wang, Qisheng Jiang AISI4250: DeepETA: A Spatial-‐‑Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System Fan Wu, Lixia Wu AISI4591: Gated Residual Recurrent Graph Neural Networks for Traffic Prediction Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Wang Jie, Zeng Zeng AISI4966: Evolutionarily Learning Multi-‐‑Aspect Interactions and Influences from Network Structure and Node Content Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao AISI5020: A Neural Multi-‐‑Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang AISI5560: Bayesian Fairness Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic AISI6007: Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services (Special Track) Amanda Kube, Sanmay Das, Patrick J. Fowler AISI6224: Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders Partha Ghosh, Arpan Losalka, Michael J. Black AISI7233: Multi³Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery (Special Track) Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopackova, Piotr Bilinski AI and the Web (AIW)

AIW4737: Personalized Question Routing via Heterogeneous Network Embedding Zeyu Li, Jyun-‐‑Yu Jiang, Yizhou Sun, Wei Wang AIW4747: Coupled CycleGAN: Unsupervised Hashing Network for Cross-‐‑Modal Retrieval Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu AIW4773: Surveys without Questions: A Reinforcement Learning Approach Atanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan

AIW4912: Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome AIW4947: TableSense: Spreadsheet Table Detection with Convolutional Neural Networks Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang AIW5002: Entity Alignment between Knowledge Graphs Using Attribute Embeddings Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang AIW5084: Community Detection in Social Networks Considering Topic Correlations Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang AIW5596: Improving One-‐‑Class Collaborative Filtering via Ranking-‐‑Based Implicit Regularizer Jin Chen, Defu Lian, Kai Zheng AIW5921: Mining Entity Synonyms with Efficient Neural Set Generation Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian Sadler, Jiawei Han AIW6198: Multi-‐‑Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Ture, Jimmy Lin AIW6406: Triple Classification Using Regions and Fine-‐‑Grained Entity Typing Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers AIW6494: SNR: Sub-‐‑Network Routing for Flexible Parameter Sharing in Multi-‐‑Task Learning Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed Chi AIW6719: DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval Zhiwen Tang, Grace Hui Yang AIW6742: Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-‐‑Grained Classification Xiaoxiao Sun, Liyi Chen, Jufeng Yang AIW6798: Text Assisted Insight Ranking Using Context-‐‑Aware Memory Network Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang AIW7005: VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis Quac-‐‑Tuan Truong, Hady W. Lauw AIW7028: Exploiting Background Knowledge in Compact Answer Generation for Why-‐‑Questions Ryu Lida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-‐‑Hoon Oh, Julien Kloetzer AIW7085: Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-‐‑View Clustering Jun Guo, Jiahui Ye AIW7122: Robust Online Matching with User Arrival Distribution Drift Yu-‐‑Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

AIW7261: Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank Qian Yu, Wai Lam AIW7635: Session-‐‑Based Recommendation with Graph Neural Networks Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan AIW8023: Hierarchical Reinforcement Learning for Course Recommendation in MOOCs Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun Applications (APP)

APP568: Adversarial Learning for Weakly-‐‑Supervised Social Network Alignment Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip Yu, Yanbo Liang, Yun Liu, Zhoujun Li APP2259: Play As You Like: Timbre-‐‑Enhanced Multi-‐‑Modal Music Style Transfer Chien-‐‑Yu Lu, Min-‐‑Xin Xue, Chia-‐‑Che Chang, Che-‐‑Rung Lee, Li Su APP2784: Difficulty-‐‑Aware Attention Network with Confidence Learning for Medical Image Segmentation Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen APP3401: Exploiting Sentence Embedding for Medical Question Answering Yu Hao, Xien Liu, Ji Wu, Ping Lv APP3497: Building Causal Graphs from Medical Literature and Electronic Medical Records Galia Nordon, Gideon Koren, Varda Shalev, Benny Kimelfeld, Uri Shalit, Kira Radinsky APP3706: Beyond Speech: Generalizing D-‐‑Vectors for Biometric Verification Jacob Baldwin, Ryan Burnham, Andrew Meyer, Robert Dora, Robert Wright APP3904: Dynamic Spatial-‐‑Temporal Graph Convolutional Neural Networks for Traffic Forecasting Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He APP4736: Hierarchical Macro Strategy Model for MOBA Game AI Bin Wu APP5331: SEGAN: Structure-‐‑Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang APP5442: Private Model Compression via Knowledge Distillation Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu APP5624: DeepSTN+: Context-‐‑Aware Spatial-‐‑Temporal Neural Network for Crowd Flow Prediction in Metropolis Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin APP5676: Exploiting the Contagious Effect for Employee Turnover Prediction Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong APP5893: NeVAE: A Deep Generative Model for Molecular Graphs Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez

APP5898: On Strength Adjustment for MCTS-‐‑Based Programs I-‐‑Chen Wu, Ti-‐‑Rong Wu, An-‐‑Jen Liu, Hung Guei, Tinghan Wei APP6001: PerformanceNet: Score-‐‑to-‐‑Audio Music Generation with Multi-‐‑Band Convolutional Residual Network Bryan Wang, Yi-‐‑Hsuan Yang APP6090: DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu APP6525: SAFE: A Neural Survival Analysis Model for Fraud Early Detection Panpan Zheng, Shuhan Yuan, Xintao Wu APP6536: One-‐‑Class Adversarial Nets for Fraud Detection Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu APP6975: AffinityNet: Semi-‐‑Supervised Few-‐‑Shot Learning for Disease Type Prediction Tianle Ma, Aidong Zhang APP7499: Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-‐‑Negative Tensor Factorization Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon APP7721: Learning Heterogeneous Spatial-‐‑Temporal Representation for Bike-‐‑Sharing Demand Prediction Youru Li, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, Yao Zhao APP8049: Region-‐‑Based Message Exploration over Spatio-‐‑Temporal Data Streams Lisi Chen, Shuo Shang Constraint Satisfaction and Optimization (CSO)

CSO2645: Asynchronous Delay-‐‑Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems Ehsan Kazemi, Liqiang Wang CSO2699: A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples Curtis Bright, Dragomir Z. Djokovic, Ilias Kotsireas, Vijay Ganesh CSO3633: Generalized Batch Normalization: Towards Accelerating Deep Neural Networks Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li CSO3782: Bayesian Functional Optimisation with Shape Prior Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh CSO3823: A Recursive Algorithm for Projected Model Counting Jean-‐‑Marie Lagniez, Pierre Marquis CSO3824: Algorithms for Average Regret Minimization Sabine Storandt, Stefan Funke CSO4162: Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong CSO4208: Automatic Construction of Parallel Portfolios via Explicit Instance Grouping Shengcai Liu, Ke Tang, Xin Yao CSO4542: Model-‐‑Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory Alexander Diedrich, Alexander Maier, Oliver Niggemann

CSO4578: Separator-‐‑Based Pruned Dynamic Programming for Steiner Tree Yoichi Iwata, Takuto Shigemura CSO5225: Solving Integer Quadratic Programming via Explicit and Structural Restrictions Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak CSO5482: Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng CSO5833: A Nonconvex Projection Method for Robust PCA Aritra Dutta, Filip Hanzely, Peter Richtarik CSO6329: A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving Christoph Scholl, Jie-‐‑Hong Roland Jiang, Ralf Wimmer, Aile Ge-‐‑Ernst CSO6365: Learning Optimal Classification Trees Using a Binary Linear Program Formulation Sicco Verwer, Yingqian Zhang CSO6595: Constraint-‐‑Based Sequential Pattern Mining with Decision Diagrams Amin Hosseininasab, Willem-‐‑Jan van Hoeve, Andre A. Cire CSO6600: Abduction-‐‑Based Explanations for Machine Learning Models Alexey Ignatiev, Nina Narodytska, Joao Marques-‐‑Silva CSO6669: Concurrency Debugging with MaxSMT Miguel Terra-‐‑Neves, Nuno Machado, Ines Lynce, Vasco Manquinho CSO6708: Learning Optimal and Fair Decision Trees for Non-‐‑Discriminative Decision-‐‑Making Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos CSO6781: On Geometric Alignment in Low Doubling Dimension Hu Ding, Mingquan Ye CSO7225: Low-‐‑Rank Semidefinite Programming for the MAX2SAT Problem Po-‐‑Wei Wang, J. Zico Kolter CSO7860: Revisiting Projection-‐‑Free Optimization for Strongly Convex Constraint Sets Jarrid Rector-‐‑Brooks, Jun-‐‑Kun Wang, Barzan Mozafari Game Playing and Interactive Entertainment (GPIE)

GPIE721: 3D Face Synthesis Driven by Personality Impression Yining Lang, Wei Liang, Yujia Wang, Lap-‐‑Fai Yu GPIE1127: Tackling Sparse Rewards in Real-‐‑Time Games with Statistical Forward Planning Methods Raluca D. Gaina, Simon M. Lucas, Diego Perez-‐‑Liebana Game Theory and Economic Paradigms (GTEP)

GTEP1312: Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu GTEP1504: Randomized Wagering Mechanisms Yiling Chen, Yang Liu, Juntao Wang GTEP1604: When Do Envy-‐‑Free Allocations Exist? Pasin Manurangsi, Warut Suksompong

GTEP1939: A Unified Approach to Online Matching with Conflict-‐‑Aware Constraints Pan Xu, Yexuan Shi, Hao Cheng, John Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas GTEP3050: On the Distortion Value of the Elections with Abstention Mohammad Ghodsi, Mohammad Latifian, Masoud Seddighin GTEP3107: Computing the Yolk in Spatial Voting Games without Computing Median Lines Joachim Gudmundsson, Sampson Wong GTEP3417: Learning Optimal Strategies to Commit To Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo GTEP3483: Preference-‐‑Aware Task Assignment in On-‐‑Demand Taxi Dispatching: An Online Stable Matching Approach Boming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng GTEP3717: Mechanism Design for Multi-‐‑Type Housing Markets with Acceptable Bundles Sujoy Sikdar, Sibel Adali, Lirong Xia GTEP3805: "Reverse Gerrymandering:" Manipulation in Multi-‐‑Group Decision Making Omer Lev, Yoad Lewenberg GTEP4400: Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity Nathanaël Barrot, Kazunori Ota, Yuko Sakurai, Makoto Yokoo GTEP4430: Approximate Inference of Outcomes in Probabilistic Elections Batya Kenig, Benny Kimelfeld GTEP4853: On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games Ilias Diakonikolas, Chrystalla Pavlou GTEP4898: Walrasian Dynamics in Multi-‐‑Unit Markets Simina Branzei, Aris Filos-‐‑Ratsikas GTEP4907: Partial Verification as a Substitute for Money Sofia Ceppi, Ian Kash, Rafael Frongillo GTEP5312: Optimal Dynamic Auctions are Virtual Welfare Maximizers Vahab Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo GTEP5671: Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games Kai Li, Dong Hao GTEP5679: On the Inducibility of Stackelberg Equilibrium in Security Games Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-‐‑Thanh, Milind Tambe, Bo An GTEP5978: Multi-‐‑Unit Bilateral Trade Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik GTEP6095: You Get What You Share: Incentives for a Sharing Economy Sreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi

GTEP6403: Learning Deviation Payoffs in Simulation-‐‑Based Games Samuel Sokota, Caleb Ho, Bryce Wiedenbeck GTEP6725: An Improved Quasi-‐‑Polynomial Algorithm for Approximate Well-‐‑Supported Nash Equilibria Michail Fasoulakis, Vangelis Markakis GTEP7591: Poll-‐‑Confident Voters in Iterative Voting Anaëlle Wilczynski Human-‐‑AI Collaboration (HAC)

HAC317: Augmenting Markov Decision Processes with Advising Loïs Vanhée, Laurent Jeanpierre, Abdel-‐‑Illah Mouaddib HAC1030: One-‐‑Network Adversarial Fairness Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller HAC1226: Task Transfer by Preference-‐‑Based Cost Learning Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu HAC1734: Verifying Robustness of Gradient Boosted Models Gil Einziger, Maayan Goldstein, Yaniv Sa'ar, Itai Segall HAC2416: A Unified Framework for Planning in Adversarial and Cooperative Environments Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati HAC3237: Human-‐‑in-‐‑the-‐‑Loop Feature Selection Alvaro Henrique Chaim Correia, Freddy Lecue HAC4293: Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding Andrew Forney, Elias Bareinboim Humans and AI (HAI)

HAI134: Be Inaccurate but Don’t Be Indecisive: How Error Distribution Can Affect User Experience Rafael R. Padovani, Lucas N. Ferreira, Levi H. S. Lelis HAI3632: Deep Transformation Method for Discriminant Analysis of Multi-‐‑Channel Resting State fMRI Abhay M S Aradhya, Aditya Joglekar, Sundaram Suresh, Mahardhika Pratama Heuristic Search and Optimization (HSO)

HSO135: Evolving Action Abstractions for Real-‐‑Time Planning in Extensive-‐‑Form Games Julian R. H. Mariño, Rubens O. Moraes, Claudio Toledo, Levi H. S. Lelis HSO1109: Bounded Suboptimal Search with Learned Heuristics for Multi-‐‑Agent Systems Markus Spies, Marco Todescato, Hannes Becker, Patrick Kesper, Nicolai Waniek, Meng Guo HSO1437: Real-‐‑Time Planning as Decision-‐‑Making under Uncertainty Andrew Mitchell, Wheeler Ruml, Fabian Spaniol, Joerg Hoffmann, Marek Petrik HSO3288: Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger

HSO3975: Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer HSO4454: Pareto Optimization for Subset Selection with Dynamic Cost Constraints Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich HSO4632: Stepping Stones to Inductive Synthesis of Low-‐‑Level Looping Programs Christopher D. Rosin HSO6617: An Improved Generic Bet-‐‑and-‐‑Run Strategy with Performance Prediction for Stochastic Local Search Thomas Weise, Zijun Wu, Markus Wagner HSO6881: Evolving Solutions to Community-‐‑Structured Satisfiability Formulas Frank Neumann, Andrew M. Sutton Knowledge Representation and Reasoning (KRR)

KRR231: Blameworthiness in Strategic Games Pavel Naumov, Jia Tao KRR1158: Modular Materialisation of Datalog Programs Pan Hu, Boris Motik, Ian Horrocks KRR1207: ABox Abduction via Forgetting in ALC Warren Del-‐‑Pinto, Renate A. Schmidt KRR1304: Induction of Non-‐‑Monotonic Logic Programs to Explain Boosted Tree Models Using LIME Farhad Shakerin, Gopal Gupta KRR4595: Querying Attributed DL-‐‑Lite Ontologies Using Provenance Semirings Camille Bourgaux, Ana Ozaki Multiagent Systems (MAS)

MAS1852: Verification of RNN-‐‑Based Neural Agent-‐‑Environment Systems Michael E. Akintunde, Andreea Kevorchian, Alessio Lomuscio, Edoardo Pirovano MAS1946: A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-‐‑and-‐‑Bound Technique Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He MAS3877: Symmetry-‐‑Breaking Constraints for Grid-‐‑Based Multi-‐‑Agent Path Finding Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig MAS6498: Bayesian Execution Skill Estimation Christopher Archibald, Delma Nieves-‐‑Rivera MAS6736: IPOMDP-‐‑Net: A Deep Neural Network for Partially Observable Multi-‐‑Agent Planning Using Interactive POMDPs Yanlin Han, Piotr Gmytrasiewicz MAS6839: Large Scale Learning of Agent Rationality in Two-‐‑Player Zero-‐‑Sum Games Chun Kai Ling, Fei Fang, J. Zico Kolter MAS7418: Successor Features Based Multi-‐‑Agent RL for Event-‐‑Based Decentralized MDPs Tarun Gupta, Akshat Kumar, Praveen Paruchuri

Machine Learning (ML)

ML246: Single-‐‑Label Multi-‐‑Class Image Classification by Deep Logistic Regression Qi Dong, Xiatian Zhu, Shaogang Gong ML335: Non-‐‑Compensatory Psychological Models for Recommender Systems Chen Lin, Xiaolin Shen, Si Chen, Muhua Zhu, Yanghua Xiao ML410: MEAL: Multi-‐‑Model Ensemble via Adversarial Learning Zhiqiang Shen, Zhankui He, Xiangyang Xue ML518: Adaptive Sparse Confidence-‐‑Weighted Learning for Online Feature Selection Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang ML793: Interaction-‐‑Aware Factorization Machines for Recommender Systems Fuxing Hong, Dongbo Huang, Ge Chen ML1240: Video Inpainting by Jointly Learning Temporal Structure and Spatial Details Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang ML1296: Balanced Linear Contextual Bandits Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens ML1354: Scaling-‐‑Up Split-‐‑Merge MCMC with Locality Sensitive Sampling (LSS) Chen Luo, Anshumali Shrivastava ML1411: Bootstrap Estimated Uncertainty of the Environment Model for Model-‐‑Based Reinforcement Learning Wenzhen Huang, Junge Zhang, Kaiqi Huang ML1449: Adversarial Label Learning Chidubem Arachie, Bert Huang ML1460: Diverse Exploration via Conjugate Policies for Policy Gradient Methods Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong ML1679: DAN: Deep Attention Neural Network for News Recommendation Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo ML1722: Classification with Costly Features Using Deep Reinforcement Learning Jaromír Janisch, Tomáš Pevný, Viliam Lisý ML1882: DoPAMINE: Double-‐‑Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling Sunghwan Joo, Sungmin Cha, Taesup Moon ML1951: Non-‐‑Ergodic Convergence Analysis of Heavy-‐‑Ball Algorithms Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang ML2071: Super Sparse Convolutional Neural Networks Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li ML2145: Balanced Sparsity for Efficient DNN Inference on GPU Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie ML2329: Adversarial Learning of Semantic Relevance in Text to Image Synthesis Miriam Cha, Youngjune L. Gwon, H. T. Kung

ML2371: Unsupervised Learning with Contrastive Latent Variable Models Kristen A. Severson, Soumya Ghosh, Kenney Ng ML2433: State-‐‑Augmentation Transformations for Risk-‐‑Sensitive Reinforcement Learning Shuai Ma, Jia Yuan Yu ML2485: SepNE: Bringing Separability to Network Embedding Ziyao Li, Liang Zhang, Guojie Song ML2614: Tensorial Change Analysis Using Probabilistic Tensor Regression Tsuyoshi Ide ML2841: Compressing Recurrent Neural Networks with Tensor Ring for Action Recognization Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu ML3116: CAMO: A Collaborative Ranking Method for Content Based Recommendation Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen ML3164: Holographic Factorization Machines for Recommendation Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Vinh Dang Quang Tran ML3228: Trust Region Evolution Strategies Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-‐‑Yan Liu ML3249: Efficient Gaussian Process Classification Using Polya-‐‑Gamma Data Augmentation Florian Wenzel, Theo Galy-‐‑Fajou, Christian Donner, Marius Kloft, Manfred Opper ML3278: Learning Disentangled Representation with Pairwise Independence Zejian Li, Yongchuan Tang, Wei Li, Yongxing He ML3441: Meta-‐‑Descent for Online, Continual Prediction Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White ML3455: Submodular Optimization over Streams with Inhomogeneous Decays Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang ML3606: A Comparative Analysis of Expected and Distributional Reinforcement Learning Clare Lyle, Marc G. Bellemare, Pablo Samuel Castro ML3640: Learning Set Functions with Limited Complementarity Hanrui Zhang ML3698: Self-‐‑Adversarially Learned Bayesian Sampling Yang Zhao, Jianyi Zhang, Changyou Chen ML3701: Learning to Communicate and Solve Visual Blocks-‐‑World Tasks Qi Zhang, Richard Lewis, Satinder Singh, Edmund Durfee ML3720: Active Learning of Multi-‐‑Class Classification Models from Ordered Class Sets Yanbing Xue, Milos Hauskrecht

ML3724: Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji ML3732: Inverse Abstraction of Neural Networks Using Symbolic Interpolation Sumanth Dathathri, Sicun Gao, Richard M. Murray ML3739: Hybrid Reinforcement Learning with Expert State Sequences Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell ML3753: On-‐‑Line Adaptative Curriculum Learning for GANs Thang Doan, Joao Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm ML3773: Multistream Classification with Relative Density Ratio Estimation Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan ML3873: Natural Option Critic Saket Tiwari, Philip S. Thomas ML3912: Deep Robust Unsupervised Multi-‐‑Modal Network Yang Yang, Yi-‐‑Feng Wu, De-‐‑Chuan Zhan, Zhi-‐‑Bin Liu, Yuan Jiang ML3958: Congestion Graphs for Automated Time Predictions Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich ML4053: Smooth Deep Image Generator from Noises Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao ML4077: Efficient Data Point Pruning for One-‐‑Class SVM Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda ML4078: RS3CIS: Robust Single-‐‑Step Spectral Clustering with Intrinsic Subspace Yun Xiao, Pengzhen Ren, Zhihui Li, Xiaojiang Chen, Xin Wang, Dingyi Fang ML4206: Neural Collective Graphical Models for Estimating Spatio-‐‑Temporal Population Flow from Aggregated Data Tomoharu Iwata, Hitoshi Shimizu ML4377: Partially Observable Multi-‐‑Sensor Sequential Change Detection: A Combinatorial Multi-‐‑Armed Bandit Approach Chen Zhang, Steven C. H. Hoi ML4433: The Utility of Sparse Representations for Control in Reinforcement Learning Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White ML4455: Modelling of Bi-‐‑Directional Spatio-‐‑Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-‐‑In Identification Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He ML4498: Frame and Feature-‐‑Context Video Super-‐‑Resolution Bo Yan, Chuming Lin, Weimin Tan ML4562: One-‐‑Pass Incomplete Multi-‐‑View Clustering Menglei Hu, Songcan Chen ML4575: Refining Coarse-‐‑Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda

ML4783: Partial Multi-‐‑Label Learning by Low-‐‑Rank and Sparse Decomposition Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin ML4855: Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge ML4880: SADIH: Semantic-‐‑Aware DIscrete Hashing Zheng Zhang, Guo-‐‑sen Xie, Yang Li, Sheng Li, Zi Huang ML4891: Sparse Reject Option Classifier Using Successive Linear Programming Kulin Shah, Naresh Manwani ML4964: HyperAdam: A Learnable Task-‐‑Adaptive Adam for Network Training Shipeng Wang, Jian Sun, Zongben Xu ML4976: HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-‐‑Start Recommendation Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan ML5048: Regularized Evolution for Image Classifier Architecture Search Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le ML5171: Relation Structure-‐‑Aware Heterogeneous Information Network Embedding Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu ML5204: Learning to Solve NP-‐‑Complete Problems: A Graph Neural Network for Decision TSP Marcelo Prates, Pedro Avelar, Henrique Lemos, Luís C. Lamb, Moshe Y. Vardi ML5325: Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition Wissam J. Baddar, Yong Man Ro ML5396: The Adversarial Attack and Detection under the Fisher Information Metric Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen ML5492: Hyperbolic Heterogeneous Information Network Embedding Xiao Wang, Yiding Zhang, Chuan Shi ML5622: Adversarial Binary Collaborative Filtering for Implicit Feedback Haoyu Wang, Nan Shao, Defu Lian ML5633: MixUp as Locally Linear Out-‐‑of-‐‑Manifold Regularization Hongyu Guo, Yongyi Mao, Richong Zhang ML5793: Guiding the One-‐‑to-‐‑One Mapping in CycleGAN via Optimal Transport Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu ML5853: Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform Kehelwala Dewage G. Maduranga, Kyle E. Helfrich, Qiang Ye ML5994: Robust Optimization over Multiple Domains Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li

ML6273: Learning to Adaptively Scale Recurrent Neural Networks Hao Hu, Liqiang Wang, Guo-‐‑Jun Qi ML6381: Manifold-‐‑Valued Image Generation with Wasserstein Generative Adversarial Nets Zhiwu Huang, Jiqing Wu, Luc Van Gool ML6574: Combined Reinforcement Learning via Abstract Representations Vincent Francois-‐‑Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau ML6748: Distributed PageRank Computation: An Improved Theoretical Study Siqiang Luo ML6818: Utilizing Class Information for Deep Network Representation Shaping Daeyoung Choi, Wonjong Rhee ML6951: Improving GAN with Neighbors Embedding and Gradient Matching Ngoc-‐‑Trung Tran, Tuan-‐‑Anh Bui, Ngai-‐‑Man Cheung ML6974: RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-‐‑Based Recommendation Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke ML7063: Composite Binary Decomposition Network You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-‐‑Gang Jiang, Jun Zhu ML7094: Character n-‐‑Gram Embeddings to Improve RNN Language Models Sho Takase, Jun Suzuki, Masaaki Nagata ML7133: Controllable Image-‐‑to-‐‑Video Translation: A Case Study on Facial Expression Generation Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong ML7292: Dueling Bandits with Qualitative Feedback Liyuan Xu, Junya Honda, Masashi Sugiyama ML7598: Hierarchical Context Enabled Recurrent Neural Network for Recommendation Kyungwoo Song, Mingi Ji, Sungrae Park, Il-‐‑Chul Moon ML7866: Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks Jin Shang, Mingxuan Sun ML7946: Active Generative Adversarial Network for Image Classification Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami ML7955: Gaussian-‐‑Induced Convolution for Graphs Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang Natural Language Processing (NLP)

NLP209: Word Embedding as Maximum A Posteriori Estimation Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert NLP298: DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang

NLP606: ScisummNet: A Large Annotated Corpus and Content-‐‑Impact Models for Scientific Paper Summarization with Citation Networks Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev NLP1105: A Deep Cascade Model for Multi-‐‑Document Reading Comprehension Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen NLP1319: Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki NLP1321: Spell Once, Summon Anywhere: A Two-‐‑Level Open-‐‑Vocabulary Language Model Sebastian J. Mielke, Jason Eisner NLP1614: Adaptive Region Embedding for Text Classification Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding NLP1627: CGMH: Constrained Sentence Generation by Metropolis-‐‑Hastings Sampling Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li NLP1863: Graph Convolutional Networks for Text Classification Liang Yao, Chengsheng Mao, Yuan Luo NLP1897: Modeling Coherence for Discourse Neural Machine Translation Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang NLP1933: A Human-‐‑Like Semantic Cognition Network for Aspect-‐‑Level Sentiment Classification Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu NLP1979: Read + Verify: Machine Reading Comprehension with Unanswerable Questions Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li NLP2198: Dynamic Compositionality in Recursive Neural Networks with Structure-‐‑Aware Tag Representations Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-‐‑goo Lee NLP3133: Semantic Sentence Matching with Densely-‐‑Connected Recurrent and Co-‐‑Attentive Information Seonhoon Kim, Inho Kang, Nojun Kwak NLP3134: Abstractive Text Summarization by Incorporating Reader Comments Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan NLP3156: On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse Vasanth Sarathy, Matthias Scheutz NLP3275: A Generalized Language Model in Tensor Space Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song NLP3583: Multi-‐‑Matching Network for Multiple Choice Reading Comprehension Min Tang, Jiaran Cai, Hankz Hankui Zhuo NLP3690: Automated Rule Base Completion as Bayesian Concept Induction Zied Bouraoui, Steven Schockaert

NLP3767: When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation Zhao Wang, Aron Culotta NLP3818: Understanding Actors and Evaluating Personae with Gaussian Embeddings Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li NLP4024: Weakly-‐‑Supervised Hierarchical Text Classification Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han NLP4074: HAS-‐‑QA: Hierarchical Answer Spans Model for Open-‐‑Domain Question Answering Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng NLP4114: Generating Character Descriptions for Automatic Summarization of Fiction Weiwei Zhang, Jackie Chi Kit Cheung, Joel Oren NLP4124: Joint Extraction of Entities and Overlapping Relations Using Position-‐‑Attentive Sequence Labeling Dai Dai, Xinyan Xiao, Yajuan Lyu, Shan Dou, Qiaoqiao She, Haifeng Wang NLP4251: Deep Short Text Classification with Knowledge Powered Attention Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang NLP4461: Implicit Argument Prediction as Reading Comprehension Pengxiang Cheng, Katrin Erk NLP4569: Exploring Answer Stance Detection with Recurrent Conditional Attention Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin NLP4724: Structured Two-‐‑Stream Attention Network for Video Question Answering Lianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-‐‑Fang Li , Wu Liu, Tao Mei, Heng Tao Shen NLP4746: Towards Personalized Review Summarization via User-‐‑Aware Sequence Network Junjie Li, Haoran Li, Chengqing Zong NLP4788: Learning Semantic Representations for Novel Words: Leveraging Both Form and Context Timo Schick, Hinrich Schütze NLP4838: Document Informed Neural Autoregressive Topic Models with Distributional Prior Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schuetze NLP4905: Neural Relation Extraction Within and Across Sentence Boundaries Pankaj Gupta, Subburam Rajaram, Hinrich Schuetze, Thomas Runkler NLP5147: DRr-‐‑Net: Dynamic Re-‐‑Read Network for Sentence Semantic Matching Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie NLP5216: Transferable Interactive Memory Network for Domain Adaptation in Fine-‐‑Grained Opinion Extraction Wenya Wang, Sinno Jialin Pan

NLP5320: GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Borje Karlsson NLP5454: Jointly Extracting Multiple Triplets with Multilayer Translation Constraints Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao NLP5630: From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia NLP5820: Challenges in the Automatic Analysis of Students' Diagnostic Reasoning Claudia Schulz, Christian M. Meyer, Iryna Gurevych NLP6382: Zero-‐‑Shot Neural Transfer for Cross-‐‑Lingual Entity Linking Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime Carbonell NLP6451: Improving Neural Question Generation Using Answer Separation Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung NLP6649: Jointly Learning to Label Sentences and Tokens Marek Rei, Anders Søgaard NLP6869: QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-‐‑tau Yih, Ashish Sabharwal NLP7009: Predicting and Analyzing Language Specificity in Social Media Posts Yifan Gao, Yang Zhong, Daniel Preotiuc-‐‑Pietro, Junyi Jessy Li NLP7014: Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-‐‑IID Relevance Embedding Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei NLP7164: Convolutional Spatial Attention Model for Reading Comprehension with Multiple-‐‑Choice Questions Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu NLP7468: Syntax-‐‑Aware Neural Semantic Role Labeling Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si NLP7608: Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations Changzhi Sun, Yuanbin Wu NLP7656: GlobalTrait: Personality Alignment of Multilingual Word Embeddings Farhad Bin Siddique, Dario Bertero, Pascale Fung NLP7703: Paraphrase Diversification Using Counterfactual Debiasing Sunghyun Park, Seung-‐‑won Hwang, Fuxiang Chen, Jaegul Choo, Jung-‐‑Woo Ha, Sunghun Kim, Jinyeong Yim NLP7770: One for All: Neural Joint Modeling of Entities and Events Trung Minh Nguyen, Thien Huu Nguyen

Planning, Routing, and Scheduling (PRS)

PRS530: Automated Verification of Social Laws for Continuous Time Multi-‐‑Robot Systems Ronen Nir, Erez Karpas PRS939: Performance Guarantees for Homomorphisms beyond Markov Decision Processes Sultan Javed Majeed, Marcus Hutter PRS3271: Refining Abstraction Heuristics during Real-‐‑Time Planning Rebecca Eifler, Maximilian Fickert, Joerg Hoffmann, Wheeler Ruml PRS3329: Solving Multiagent Planning Problems with Concurrent Conditional Effects Daniel Furelos-‐‑Blanco, Anders Jonsson PRS3858: Multi-‐‑Agent Path Finding for Large Agents Jiaoyang Li, Pavel Surynek, Ariel Felner, Hang Ma, T. K. Satish Kumar, Sven Koenig PRS4465: Searching with Consistent Prioritization for Multi-‐‑Agent Path Finding Hang Ma, Daniel Harabor, Peter. J Stuckey, Jiaoyang Li, Sven Koenig PRS5010: Operator Mutexes and Symmetries for Simplifying Planning Tasks Daniel Fišer, Alvaro Torralba, Alexander Shleyfman PRS5021: Bringing Order to Chaos — A Compact Representation of Partial Order in SAT-‐‑Based HTN Planning Gregor Behnke, Daniel Höller, Susanne Biundo PRS5022: Red-‐‑Black Heuristics for Planning Tasks with Conditional Effects Michael Katz PRS5097: Deep Learning for Cost-‐‑Optimal Planning: Task-‐‑Dependent Planner Selection Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber PRS5388: Temporal Planning with Temporal Metric Trajectory Constraints Andrea Micheli, Enrico Scala PRS5422: Moral Permissibility of Action Plans Felix Lindner, Robert Mattmüller, Bernhard Nebel PRS5556: Online Multi-‐‑Agent Pathfinding Jiří Švancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták PRS5626: Deep Reactive Policies for Planning in Stochastic Nonlinear Domains Thiago P. Bueno, Leliane N. de Barros, Denis D. Maua, Scott Sanner PRS5656: Sliding Window Temporal Graph Coloring George B. Mertzios, Hendrik Molter, Viktor Zamaraev PRS5758: An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem Riccardo Rasconi, Angelo Oddi PRS5812: Efficient Temporal Planning Using Metastates Amanda Coles, Andrew Coles, J. Christopher Beck PRS5828: Efficiently Reasoning with Interval Constraints in Forward Search Planning Amanda Coles, Andrew Coles, Moises Martinez, Emre Savas, Juan Manuel Delfa, Tomas de la Rosa, Yolanda E-‐‑Martin, Angel Garcia-‐‑Olaya

PRS6035: Lifelong Path Planning with Kinematic Constraints for Multi-‐‑Agent Pickup and Delivery Hang Ma, Wolfgang Hoenig, T. K. Satish Kumar, Nora Ayanian, Sven Koenig PRS6193: Measurement Maximizing Adaptive Sampling with Risk Bounding Functions Benjamin Ayton, Brian Williams, Richard Camilli PRS6285: Robustness Envelopes for Temporal Plans Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi PRS6405: Learning How to Ground a Plan — Partial Grounding in Classical Planning Daniel Gnad, Alvaro Torralba, Martin Dominguez, Carlos Areces, Facundo Bustos PRS6962: Generalized Planning via Abstraction: Arbitrary Numbers of Objects León Illanes, Sheila A. McIlraith PRS7899: Plan-‐‑Length Bounds: Beyond 1-‐‑Way Dependency Mohammad Abdulaziz Reasoning under Uncertainty (RU)

RU1405: Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach Silviu Pitis RU1838: Finding All Bayesian Network Structures within a Factor of Optimal Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek RU2190: Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem Nadjet Bourdache, Patrice Perny RU2351: Anytime Recursive Best-‐‑First Search for Bounding Marginal MAP Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler RU2391: Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines Liat Cohen, Gera Weiss RU3914: Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms Qi Lou, Rina Dechter, Alexander Ihler RU5450: A Generative Model for Dynamic Networks with Applications Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati RU7772: Randomized Strategies for Robust Combinatorial Optimization Yasushi Kawase, Hanna Sumita Vision (VIS)

VIS61: Spatial-‐‑Temporal Person Re-‐‑Identification Guangcong Wang, Jianhuang Lai, Peigen Huang, Xiaohua Xie VIS76: Differential Networks for Visual Question Answering Chenfei Wu, Jinlai Liu, Xiaojie Wang, Ruifan Li VIS136: No-‐‑Reference Image Quality Assessment with Reinforcement Recursive List-‐‑Wise Ranking Jie Gu, Gaofeng Meng, Cheng Da, Shiming Xiang, Chunhong Pan

VIS141: Zero-‐‑Shot Object Detection with Textual Descriptions Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil Kanhere, Huaxiang Zhang VIS180: Talking Face Generation by Adversarially Disentangled Audio-‐‑Visual Representation Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang VIS236: CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision Navaneet K L, Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu VIS322: Attention-‐‑Based Multi-‐‑Context Guiding for Few-‐‑Shot Semantic Segmentation Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek VIS466: Learning Neural Bag-‐‑of-‐‑Matrix-‐‑Summarization with Riemannian Network Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji VIS534: Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen VIS541: A Novel Framework for Robustness Analysis of Visual QA Models Jia-‐‑Hong Huang, Cuong Dao-‐‑Duc, Modar Alfadly, Bernard Ghanem VIS595: TallyQA: Answering Complex Counting Questions Manoj Acharya, Kushal Kafle, Christopher Kanan VIS644: Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos Zhanning Gao, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, Gang Hua VIS648: Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy VIS700: Towards Optimal Discrete Online Hashing with Balanced Similarity Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu VIS782: HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-‐‑Identification Yi Hao, Nannan Wang, Jie Li , Xinbo Gao VIS817: Residual Attribute Attention Network for Face Image Super-‐‑Resolution Jingwei Xin, Nannan Wang, Xinbo Gao, Jie Li VIS895: Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-‐‑Scale Layer Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang VIS971: Optimal Projection Guided Transfer Hashing for Image Retrieval Ji Liu, Lei Zhang VIS1068: Horizontal Pyramid Matching for Person Re-‐‑Identification Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas Huang

VIS1070: STA: Spatial-‐‑Temporal Attention for Large-‐‑Scale Video-‐‑Based Person Re-‐‑Identification Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang VIS1097: Cubic LSTMs for Video Prediction Hehe Fan, Linchao Zhu, Yi Yang VIS1233: Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun VIS1483: ActivityNet-‐‑QA: A Dataset for Understanding Complex Web Videos via Question Answering Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao VIS1557: Projection Convolutional Neural Networks for 1-‐‑Bit CNNs via Discrete Back Propagation Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David Doermann VIS1562: StNet: Local and Global Spatial-‐‑Temporal Modeling for Action Recognition Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen VIS1576: 3D Volumetric Modeling with Introspective Neural Networks Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu VIS1717: Human Action Transfer Based on 3D Model Reconstruction Shanyan Guan, Shuo Wen, Dexin Yang, Bingbing Ni, Wendong Zhang, Jun Tang, Xiaokang Yang VIS1747: BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection Hedi Ben-‐‑younes, Remi Cadene, Nicolas Thome, Matthieu Cord VIS1750: Non-‐‑Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu VIS1806: Self-‐‑Supervised Video Representation Learning with Space-‐‑Time Cubic Puzzles Dahun Kim, Donghyeon Cho, In So Kweon VIS1955: Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu VIS1991: Detect or Track: Towards Cost-‐‑Effective Video Object Detection/Tracking Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng VIS2065: Towards Highly Accurate and Stable Face Alignment for High-‐‑Resolution Videos Ying Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Jilin Li, Chengjie Wang, Feiyue Huang, Yu Chen VIS2070: Backbone Can Not Be Trained at Once: Rolling Back to Pre-‐‑Trained Network for Person Re-‐‑Identification Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi VIS2159: Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking Jianglei Huang, Wengang Zhou

VIS2201: Memory-‐‑Augmented Temporal Dynamic Learning for Action Recognition Yuan Yuan, Dong Wang, Qi Wang VIS2230: Video Object Detection with Locally-‐‑Weighted Deformable Neighbors Zhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Chunhong Pan VIS2331: Unsupervised Cross-‐‑Spectral Stereo Matching by Learning to Synthesize Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song VIS2389: Fully Convolutional Video Captioning with Coarse-‐‑to-‐‑Fine and Inherited Attention Kuncheng Fang, Lian Zhou, Cheng Jin, Yuejie Zhang, Kangnian Weng, Tao Zhang, Weiguo Fan VIS2732: Motion Guided Spatial Attention for Video Captioning Shaoxiang Chen, Yu-‐‑Gang Jiang VIS2760: MVPNet: Multi-‐‑View Point Regression Networks for 3D Object Reconstruction from a Single Image Jinglu Wang, Bo Sun, Yan Lu VIS2866: Semantic Adversarial Network with Multi-‐‑Scale Pyramid Attention for Video Classification De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao VIS3101: Hierarchical Photo-‐‑Scene Encoder for Album Storytelling Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang VIS3139: Semantic Proposal for Activity Localization in Videos via Sentence Query Shaoxiang Chen, Yu-‐‑Gang Jiang VIS3610: Dynamic Capsule Attention for Visual Question Answering Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen VIS4029: Learning Transferable Self-‐‑Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision Xiao-‐‑Yu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan VIS4082: Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Wu, Jianfeng Wang, Xiaodong He VIS4121: Spatial and Temporal Mutual Promotion for Video-‐‑Based Person Re-‐‑Identification Yiheng Liu, Zhenxun Yuan, Wengang Zhou, Houqiang Li VIS4239: Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature Xuanlu Xiang, Zhipeng Wang, Zhicheng Zhao, Fei Su VIS4410: BiHMP-‐‑GAN: Bidirectional 3D Human Motion Prediction GAN Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu VIS4444: Few-‐‑Shot Image and Sentence Matching via Gated Visual-‐‑Semantic Embedding Yan Huang, Yang Long, Liang Wang

VIS4607: DeepCCFV: Camera Constraint-‐‑Free Multi-‐‑View Convolutional Neural Network for 3D Object Retrieval Zhengyue Huang, Zhehui Zhao, Hengguang Zhou, Xibin Zhao, Yue Gao VIS4808: Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing Fan Yang, Ryota Hinami, Yusuke Matsui, Steven Ly, Shin'ichi Satoh VIS4938: Meta Learning for Image Captioning Nannan Li, Zhenzhong Chen, Shan Liu VIS4989: Action Knowledge Transfer for Action Prediction with Partial Videos Yijun Cai, Haoxin Li, Jian-‐‑Fang Hu, Wei-‐‑Shi Zheng VIS5030: Beyond RNNs: Positional Self-‐‑Attention with Co-‐‑Attention for Video Question Answering Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan VIS5056: Learning Incremental Triplet Margin for Person Re-‐‑Identification Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu VIS5266: Perceptual Pyramid Adversarial Networks for Text-‐‑to-‐‑Image Synthesis Lianli Gao, Daiyuan Chen, Jingkuan Song, Xing Xu, Dongxiang Zhang, Heng Tao Shen VIS5293: A Layer-‐‑Based Sequential Framework for Scene Generation with GANs Mehmet Ozgur Turkoglu, William Thong, Luuk Spreeuwers, Berkay Kicanaoglu VIS5345: SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection Bo Li, Zhengxing Sun, Yuqi Guo VIS5370: Hypergraph Optimization for Multi-‐‑Structural Geometric Model Fitting Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang VIS5723: Unsupervised Stylish Image Description Generation via Domain Layer Norm Cheng Kuan Chen, Zhufeng Pan, Ming-‐‑Yu Liu, Min Sun VIS6338: Multilevel Language and Vision Integration for Text-‐‑to-‐‑Clip Retrieval Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko VIS6893: Localizing Natural Language in Videos Jingyuan Chen, Lin Ma, Xinpeng Chen, Zequn Jie, Jiebo Luo VIS7226: Unsupervised Bilingual Lexicon Induction from Mono-‐‑Lingual Multimodal Data Shizhe Chen, Qin Jin, Alexander Hauptmann VIS8018: Learning a Key-‐‑Value Memory Co-‐‑Attention Matching Network for Person Re-‐‑Identification Yaqing Zhang, Xi Li, Zhongfei Zhang Student Abstracts

* Denotes finalist

SA115*: Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang

SA215*: Towards Sequence-‐‑to-‐‑Sequence Reinforcement Learning for Constraint Solving with Constraint-‐‑Based Local Search Helge Spieker SA216*: Lipper: Speaker Independent Speech Synthesis Using Multi-‐‑View Lipreading Khwaja Mohd Salik, Yaman Kumar, Rohit Jain, Swati Aggarwal, Rajiv Ratn Shah, Roger Zimmermann SA229*: Examining Political Trustworthiness through Text-‐‑Based Measures of Ideology Eitan Sapiro-‐‑Gheiler SA232*: A Fuzzy Set Based Approach for Rating Bias Mingming Li, Jiao Dai, Fuqing Zhu, Liangjun Zang, Songlin Hu, Jizhong Han SA266*: An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang SA269*: Computing Argumentative Explanations in Bipolar Argumentation Frameworks Zhiwei Zeng, Chunyan Miao, Cyril Leung, Zhiqi Shen, Jing Jih Chin SA299*: Frontier Search and Plan Reconstruction in Oversubscription Planning Daniel Muller, Erez Karpas SA300*: Comparing Sample-‐‑Wise Learnability across Deep Neural Network Models Seung-‐‑Geon Lee, Jaedeok Kim, Hyun-‐‑Joo Jung, Yoonsuck Choe SA305*: EWGAN: Entropy-‐‑Based Wasserstein GAN for Imbalanced Learning Jinfu Ren, Yang Liu, Jiming Liu SA307*: A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles Zine El Abidine Kherroubi, Samir Aknine, Rebiha Bacha SA313*: Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG Pramit Saha, Sidney Fels SA356*: Adversarial Framing for Image and Video Classification Michał Zając, Konrad Żołna, Negar Rostamzadeh, Pedro O. Pinheiro SA415*: WSD-‐‑GAN: Word Sense Disambiguation Using Generative Adversarial Networks Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui SA417*: Learning Options with Interest Functions Khimya Khetarpal, Doina Precup SA422*: Learning Representations in Model-‐‑Free Hierarchical Reinforcement Learning Jacob Rafati, David C. Noelle SA425*: Logic-‐‑Based Sequential Decision-‐‑Making Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon SA458*: What's Most Broken? A Tool to Assist Data-‐‑Driven Iterative Improvement of an Intelligent Tutoring System Mononito Goswami, Shiven Mian, Jack Mostow SA296: T-‐‑Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition Yifeng Chen, Cheng Wu, Yiming Wang

SA297: Towards Gene Function Prediction via Multi-‐‑Networks Representation Learning Hansheng Xue, Jiajie Peng, Xuequn Shang SA301: Learning to Transfer Relational Representations through Analogy Gaetano Rossiello, Alfio Gliozzo, Michael Glass SA318: A Whole New Ball Game: Harvesting Game Data for Player Profiling Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-‐‑Seng Chua SA320: CommNets: Communicating Neural Network Architectures for Resource Constrained Systems Prince M. Abudu SA325: Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test? Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan SA326: Transductive Zero-‐‑Shot Learning via Visual Center Adaptation Ziyu Wan, Yan Li, Min Yang, Junge Zhang SA331: Robust Principal Component Analysis-‐‑Based Infrared Small Target Detection Qiwei Chen, Cheng Wu, Yiming Wang SA332: Adaptation Strategies for Applying AWGN-‐‑Based Denoiser to Realistic Noise Yuqian Zhou, Jianbo Jiao, Haibin Huang, Jue Wang, Thomas Huang SA333: Symmetrization for Embedding Directed Graphs Jiankai Sun, Srinivasan Parthasarathy SA344: MIGAN: Malware Image Synthesis Using GANs Abhishek Singh, Debojyoti Dutta, Amit Saha SA346: Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff Demos

DEMO188: FRIDAYS: A Financial Risk Information Detecting and Analyzing System Chi-‐‑Han Du, Yi-‐‑Shyuan Chiang, Kun-‐‑Che Tsai, Liang-‐‑Chih Liu, Ming-‐‑Feng Tsai, Chuan-‐‑Ju Wang DEMO352: NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James Glass DEMO381: Demo: Learning to Perceive Long-‐‑Range Obstacles Using Self-‐‑Supervision from Short-‐‑Range Sensors Mirko Nava, Jérôme Guzzi, R. Omar Chavez-‐‑Garcia, Luca M. Gambardella, Alessandro Giusti DEMO449: A General Planning-‐‑Based Framework for Goal-‐‑Driven Conversation Assistant Zhuoxuan Jiang, Jie Ma, Jingyi Lu, Guangyuan Yu, Yipeng Yu, Shaochun Li DEMO487: Scientific Article Search System Based on Discourse Facet Representation Yuta Kobayashi, Hiroyuki Shindo, Yuji Matsumoto

Thursday, January 31 6:30 – 8:30 PM AI for Social Impact (AISI)

AISI6560: Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference (Special Track) (AAAI-‐‑19 Outstanding Student Paper Award) Mike Wu, Milan Mosse, Noah Goodman, Chris Piech AISI7397: A Model-‐‑Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education (Special Track) Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, Cynthia Breazeal AISI7605: Axiomatic Characterization of Data-‐‑Driven Influence Measures for Classification Jakub Sliwinski, Martin Strobel, Yair Zick AI and the Web (AIW)

AIW750: Incorporating Behavioral Constraints in Online AI Systems Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi Applications (APP)

APP2717: Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains Michael Dann, Fabio Zambetta, John Thangarajah APP4267: DeepDPM: Dynamic Population Mapping via Deep Neural Network Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li APP5118: A Memetic Approach for Sequential Security Games on a Plane with Moving Targets Jan Karwowski, Jacek Mandziuk, Adam Żychowski, Filip Grajek, Bo An APP5255: Predicting Concrete and Abstract Entities in Modern Poetry Fiammetta Caccavale, Anders Søgaard APP5298: Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He APP5970: Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator Hoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh APP7023: Improving Search with Supervised Learning in Trick-‐‑Based Card Games Christopher Solinas, Douglas Rebstock, Michael Buro Constraint Satisfaction and Optimization (CSO)

CSO1456: RSA: Byzantine-‐‑Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling CSO5329: Faster Gradient-‐‑Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang

Game Theory and Economic Paradigms (GTEP)

GTEP143: Pareto Optimal Allocation under Compact Uncertain Preferences Haris Aziz, Peter Biro, Ronald de Haan, Bahar Rastegari GTEP620: Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd Naman Goel, Boi Faltings GTEP1799: Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-‐‑MCCFR) for Extensive Games Using Baselines Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling GTEP3789: A PAC Framework for Aggregating Agents' Judgments Hanrui Zhang, Vincent Conitzer GTEP4096: Online Convex Optimization for Sequential Decision Processes and Extensive-‐‑Form Games Gabriele Farina, Christian Kroer, Tuomas Sandholm GTEP4902: Random Walk Decay Centrality Tomasz Wąs, Talal Rahwan, Oskar Skibski GTEP5699: Solving Partially Observable Stochastic Games with Public Observations Karel Horák, Branislav Bošanský GTEP5713: Deception in Finitely Repeated Security Games Thanh H. Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman GTEP6066: A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata GTEP6120: Practical Algorithms for Multi-‐‑Stage Voting Rules with Parallel Universes Tiebreaking Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia GTEP6208: Generalized Distance Bribery Dorothea Baumeister, Tobias Hogrebe, Lisa Rey GTEP6541: Pareto Efficient Auctions with Interest Rates Gagan Goel, Vahab Mirrokni, Renato Paes Leme GTEP6663: Fast Iterative Combinatorial Auctions via Bayesian Learning Gianluca Brero, Sebastien Lahaie, Sven Seuken Human-‐‑AI Collaboration (HAC)

HAC1284: RGBD Based Gaze Estimation via Multi-‐‑Task CNN Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao HAC2901: Deep Neural Networks Constrained by Decision Rules Yuzuru Okajima, Kunihiko Sadamasa HAC3123: Geometry-‐‑Aware Face Completion and Editing Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He HAC3659: Interactive Semantic Parsing for If-‐‑Then Recipes via Hierarchical Reinforcement Learning Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian Sadler, Huan Sun

HAC4297: FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee HAC5934: Making Money from What You Know — How to Sell Information? Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang HAC6091: Learning Models of Sequential Decision-‐‑Making with Partial Specification of Agent Behavior Vaibhav V. Unhelkar, Julie A. Shah HAC6613: Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-‐‑Time Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich HAC6668: Updates in Human-‐‑AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz HAC6915: Generation of Policy-‐‑Level Explanations for Reinforcement Learning Nicholay Topin, Manuela Veloso Humans and AI (HAI)

HAI2333: Goal-‐‑Oriented Dialogue Policy Learning from Failures Keting Lu, Shiqi Zhang, Xiaoping Chen HAI2721: Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi HAI2722: Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies Xiao Guo, Jongmoo Choi HAI3830: Consensual Affine Transformations for Partial Valuation Aggregation Hermann Schichl, Meinolf Sellmann HAI5625: Lipper: Synthesizing Thy Speech Using Multi-‐‑View Lipreading Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann Human-‐‑Computation and Crowd Sourcing (HCC)

HCC: 3295: Preference-‐‑Aware Task Assignment in Spatial Crowdsourcing Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng Heuristic Search and Optimization (HSO)

HSO777: Allocating Planning Effort When Actions Expire Shahaf S. Shperberg, Andrew Coles, Bence Cserna, Erez Karpas, Wheeler Ruml, Solomon Eyal Shimony HSO947: Enriching Non-‐‑Parametric Bidirectional Search Algorithms Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant, Solomon Eyal Shimony, Avi Hayoun

HSO2786: Bezier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-‐‑Objective Optimization Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama HSO2836: Fuzzy-‐‑Classification Assisted Solution Preselection in Evolutionary Optimization Aimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang HSO3052: Fine-‐‑Grained Search Space Classification for Hard Enumeration Variants of Subset Problems Juho Lauri, Sourav Dutta HSO3768: Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem Zhengxin Huang, Yuren Zhou, Zefeng Chen, Xiaoyu He HSO7667: On the Time Complexity of Algorithm Selection Hyper-‐‑Heuristics for Multimodal Optimisation Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker Knowledge Representation and Reasoning (KRR)

KRR314: Safe Partial Diagnosis from Normal Observations Roni Stern, Brendan Juba KRR1497: Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao KRR1874: Group Decision Diagram (GDD): A Compact Representation for Permutations Takanori Maehara, Yuma Inoue KRR2311: On Limited Conjunctions and Partial Features in Parameter-‐‑Tractable Feature Logics Stephanie McIntyre, Alexander Borgida, David Toman, Grant Weddell KRR3186: On Completing Sparse Knowledge Base with Transitive Relation Embedding Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang KRR3543: SDRL: Interpretable and Data-‐‑Efficient Deep Reinforcement Learning Leveraging Symbolic Planning Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson KRR3637: Efficient Concept Induction for Description Logics Md Kamruzzaman Sarker, Pascal Hitzler KRR3916: Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral KRR4252: LENA: Locality-‐‑Expanded Neural Embedding for Knowledge Base Completion Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng KRR4554: Complexity of Inconsistency-‐‑Tolerant Query Answering in Datalog+/-‐‑ under Cardinality-‐‑Based Repairs Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius KRR5286: Relaxing and Restraining Queries for OBDA Medina Andresel, Yazmin Ibanez-‐‑Garcia, Magdalena Ortiz, Mantas Simkus

KRR5448: Unbounded Orchestrations of Transducers for Manufacturing Natasha Alechina, Tomas Brazdil, Giuseppe De Giacomo, Paolo Felli, Brian Logan, Moshe Y. Vardi KRR5490: Enhancing Lazy Grounding with Lazy Normalization in Answer-‐‑Set Programming Jori Bomanson, Tomi Janhunen, Antonius Weinzierl KRR5628: Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty Daniel de Leng, Fredrik Heintz KRR5695: Learning Features and Abstract Actions for Computing Generalized Plans Blai Bonet, Guillem Francès, Hector Geffner KRR5807: Strong Equivalence for Epistemic Logic Programs Made Easy Wolfgang Faber, Michael Morak, Stefan Woltran KRR5928: Ontology-‐‑Based Query Answering for Probabilistic Temporal Data Patrick Koopmann KRR5931: On Structured Argumentation with Conditional Preferences Phan Minh Dung, Phan Minh Thang, Tran Cao Son KRR5974: End-‐‑to-‐‑End Structure-‐‑Aware Convolutional Networks for Knowledge Base Completion Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou KRR6029: An Open-‐‑World Extension to Knowledge Graph Completion Models Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait KRR6049: Reasoning over Streaming Data in Metric Temporal Datalog Przemysław Andrzej Wałęga, Mark Kaminski, Bernardo Cuenca Grau KRR6074: Forgetting in Modular Answer Set Programming Ricardo Gonçalves, Tomi Janhunen, Matthias Knorr, João Leite, Stefan Woltran KRR6148: Multi-‐‑Context System for Optimization Problems Tiep Le, Tran Cao Son, Enrico Pontelli KRR6166: Ontology-‐‑Mediated Query Answering over Log-‐‑Linear Probabilistic Data Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz KRR6221: Representing and Learning Grammars in Answer Set Programming Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo KRR6461: Identification of Causal Effects in the Presence of Selection Bias Juan D. Correa, Jin Tian, Elias Bareinboim KRR6531: Counting Complexity for Reasoning in Abstract Argumentation Johannes K. Fichte, Markus Hecher, Arne Meier KRR7196: ATOMIC: An Atlas of Machine Commonsense for If-‐‑Then Reasoning Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi

KRR7692: Bi-‐‑Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-‐‑Rong Lai, Linfeng Wei KRR8010: Satisfiability in Strategy Logic Can Be Easier than Model Checking Erman Acar, Massimo Benerecetti, Fabio Mogavero Multiagent Systems (MAS)

MAS2036: Leveraging Observations in Bandits: Between Risks and Benefits Andrei Lupu, Audrey Durand, Doina Precup MAS2511: Evolution of Collective Fairness in Hybrid Populations of Humans and Agents Fernando P. Santos, Jorge M. Pacheco, Ana Paiva, Francisco C. Santos MAS2545: Learning to Teach in Cooperative Multiagent Reinforcement Learning (AAAI-‐‑19 Outstanding Student Paper, Honorable Mention) Shayegan Omidshafiei, Dong-‐‑Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How MAS2772: Multi-‐‑Winner Contests for Strategic Diffusion in Social Networks Wen Shen, Yang Feng, Cristina V. Lopes MAS2998: An Abstraction-‐‑Based Method for Verifying Strategic Properties in Multi-‐‑Agent Systems with Imperfect Information Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone MAS3018: General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-‐‑Armed Bandits Zehong Hu, Jie Zhang, Zhao Li MAS3561: Message-‐‑Dropout: An Efficient Training Method for Multi-‐‑Agent Deep Reinforcement Learning Woojun Kim, MyungSik Cho, Youngchul Sung MAS3695: Theory of Minds: Understanding Behavior in Groups through Inverse Planning Michael Shum, Max Kleiman-‐‑Weiner, Michael L. Littman, Joshua B. Tenenbaum MAS4963: Multi-‐‑Agent Discussion Mechanism for Natural Language Generation Xu Li, Mingming Sun, Ping Li MAS6390: Consensus in Opinion Formation Processes in Fully Evolving Environments Vincenzo Auletta, Angelo Fanelli, Diodato Ferraioli MAS6880: Distributed Community Detection via Metastability of the 2-‐‑Choices Dynamics Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca MAS7447: Multiagent Decision Making for Maritime Traffic Management Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau MAS7839: Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz

Machine Learning (ML)

ML9: CircConv: A Structured Convolution with Low Complexity Siyu Liao, Bo Yuan ML272: Disjoint Label Space Transfer Learning with Common Factorised Space Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales ML305: Deep Recurrent Survival Analysis Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu ML333: Scalable Distributed DL Training: Batching Communication and Computation Shaoqi Wang, Aidi Pi, Xiaobo Zhou ML353: Deep Interest Evolution Network for Click-‐‑Through Rate Prediction Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai ML702: Determinantal Reinforcement Learning Takayuki Osogami, Rudy Raymond ML770: How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya ML787: Spectral Clustering in Heterogeneous Information Networks Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin ML851: Embedding Uncertain Knowledge Graphs Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo ML867: Self-‐‑Paced Active Learning: Query the Right Thing at the Right Time Ying-‐‑Peng Tang, Sheng-‐‑Jun Huang ML881: Fully Convolutional Network with Multi-‐‑Step Reinforcement Learning for Image Processing Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki ML913: Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang ML941: Cross-‐‑View Local Structure Preserved Diversity and Consensus Learning for Multi-‐‑View Unsupervised Feature Selection Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang ML956: Cost-‐‑Sensitive Learning to Rank Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li ML1057: End-‐‑to-‐‑End Safe Reinforcement Learning through Barrier Functions for Safety-‐‑Critical Continuous Control Tasks Richard Cheng, Gabor Orosz, Richard M. Murray, Joel W. Burdick ML1250: Joint Semi-‐‑Supervised Feature Selection and Classification through Bayesian Approach Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen ML1480: Bayesian Posterior Approximation Via Greedy Particle Optimization Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama ML1506: Hypergraph Neural Networks Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao

ML1578: Point Cloud Processing via Recurrent Set Encoding Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris Metaxas ML1620: Soft Facial Landmark Detection by Label Distribution Learning Kai Su, Xin Geng ML1681: TAPAS: Train-‐‑Less Accuracy Predictor for Architecture Search Roxana Istrate, Florian Scheidegger, Giovanni Mariani, Dimitrios Nikolopoulos, Costas Bekas, A. Cristiano I. Malossi ML1744: Structural Causal Bandits with Non-‐‑Manipulable Variables Sanghack Lee, Elias Bareinboim ML1754: A Two-‐‑Stream Mutual Attention Network for Semi-‐‑Supervised Biomedical Segmentation with Noisy Labels Shaobo Min, Xuejin Chen, Zheng-‐‑Jun Zha, Feng Wu, Yongdong Zhang ML1760: Block Belief Propagation for Parameter Learning in Markov Random Fields You Lu, Zhiyuan Liu, Bert Huang ML1802: Model-‐‑Free IRL Using Maximum Likelihood Estimation Vinamra Jain, Prashant Doshi, Bikramjit Banerjee ML1855: Estimating the Causal Effect from Partially Observed Time Series Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada ML1858: Understanding Learned Models by Identifying Important Features at the Right Resolution Kyubin Lee, Akshay Sood, Mark Craven ML1924: Non-‐‑Autoregressive Neural Machine Translation with Enhanced Decoder Input Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-‐‑Yan Liu ML1960: Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille ML2024: Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents Aditya Siddhant, Anuj Kumar Goyal, Angeliki Metallinou ML2061: Two-‐‑Stage Label Embedding via Neural Factorization Machine for Multi-‐‑Label Classification Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen ML2081: SVM-‐‑Based Deep Stacking Networks Jingyuan Wang, Kai Feng, Junjie Wu ML2109: Clipped Matrix Completion: A Remedy for Ceiling Effects Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama ML2326: Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy Bin Gu, Zhouyuan Huo, Heng Huang ML2327: Large-‐‑Scale Interactive Recommendation with Tree-‐‑Structured Policy Gradient Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu

ML2359: Policy Optimization with Model-‐‑Based Explorations Feiyang Pan, Qingpeng Cai, An-‐‑Xiang Zeng, Chun-‐‑Xiang Pan, Qing Da, Hualin He, Qing He, Pingzhong Tang ML2399: CAFE: Adaptive VDI Workload Prediction with Multi-‐‑Grained Features Yao Zhang, Wen-‐‑Ping Fan, Xuan Wu, Hua Chen, Bin-‐‑Yang Li, Min-‐‑Ling Zhang ML2403: Optimization of Hierarchical Regression Model with Application to Optimizing Multi-‐‑Response Regression K-‐‑ary Trees Pooya Tavallali, Peyman Tavallali, Mukesh Singhal ML2407: How to Combine Tree-‐‑Search Methods in Reinforcement Learning (AAAI-‐‑19 Outstanding Paper Award) Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor ML2477: Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks Hyoungwook Nam, Segwang Kim, Kyomin Jung ML2508: Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell ML2553: Image Block Augmentation for One-‐‑Shot Learning Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-‐‑Gang Jiang ML2673: Subspace Selection via DR-‐‑Submodular Maximization on Lattices So Nakashima, Takanori Maehara ML2686: An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng Zhuo ML2689: Multi-‐‑View Anomaly Detection: Neighborhood in Locality Matters Xiang-‐‑Rong Sheng, De-‐‑Chuan Zhan, Su Lu, Yuan Jiang ML2742: Orthogonality-‐‑Promoting Dictionary Learning via Bayesian Inference Lei Luo, Jie Xu, Cheng Deng, Heng Huang ML2831: EA-‐‑CG: An Approximate Second-‐‑Order Method for Training Fully-‐‑Connected Neural Networks Sheng-‐‑Wei Chen, Chun-‐‑Nan Chou, Edward Y. Chang ML2858: Bias-‐‑Variance Trade-‐‑Off in Hierarchical Probabilistic Models Using Higher-‐‑Order Feature Interactions Simon Luo, Mahito Sugiyama ML2870: Residual Invertible Spatio-‐‑Temporal Network for Video Super-‐‑Resolution Xiaobin Zhu, Zhuangzi Li, Xiao-‐‑Yu Zhang, Changsheng Li, Yaqi Liu, Ziyu Xue ML2874: Partial Multi-‐‑Label Learning via Credible Label Elicitation Jun-‐‑Peng Fang, Min-‐‑Ling Zhang ML2924: Non-‐‑Autoregressive Machine Translation with Auxiliary Regularization Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-‐‑Yan Liu

ML2929: Self-‐‑Supervised Mixture-‐‑of-‐‑Experts by Uncertainty Estimation Zhuobin Zheng, Chun Yuan, Xinrui Zhu, Zhihui Lin, Yangyang Cheng, Cheng Shi, Jiahui Ye ML2943: SpHMC: Spectral Hamiltonian Monte Carlo Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-‐‑Zhong Xu, Zhishan Guo, Jun Huan ML3008: Safe Policy Improvement with Baseline Bootstrapping in Factored Environments Thiago D. Simão, Matthijs T. J. Spaan ML3053: Learning Personalized Attribute Preference via Multi-‐‑Task AUC Optimization Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang ML3115: Granger-‐‑Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks Patrick Schwab, Djordje Miladinovic, Walter Karlen ML3157: Hyperprior Induced Unsupervised Disentanglement of Latent Representations Abdul Fatir Ansari, Harold Soh ML3325: Data-‐‑Adaptive Metric Learning with Scale Alignment Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li ML3447: Lifted Proximal Operator Machines Jia Li, Cong Fang, Zhouchen Lin ML3467: Bayesian Deep Collaborative Matrix Factorization Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng ML3515: Communication Efficient Stochastic Gradient MCMC for Neural Networks Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin ML3526: Multi-‐‑Order Attentive Ranking Model for Sequential Recommendation Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang ML3529: Training Complex Models with Multi-‐‑Task Weak Supervision Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Re ML3612: State Abstraction as Compression in Apprenticeship Learning David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L.S. Wong ML3622: Deep Convolutional Sum-‐‑Product Networks Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos, André L. Teixeira ML3626: Learning Competitive and Discriminative Reconstructions for Anomaly Detection Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan ML3665: Towards Better Interpretability in Deep Q-‐‑Networks Raghuram Mandyam Annasamy, Katia Sycara ML3927: Embedding-‐‑Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-‐‑IID Categorical Data Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang ML3931: Learning Dynamic Generator Model by Alternating Back-‐‑Propagation through Time Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-‐‑Chun Zhu, Ying Nian Wu

ML4039: ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search Shangtong Zhang, Hengshuai Yao ML4041: Partial Label Learning via Label Enhancement Ning Xu, Jiaqi Lv, Xin Geng ML4068: Task-‐‑Driven Common Representation Learning via Bridge Neural Network Yao Xu, Xueshuang Xiang, Meiyu Huang ML4180: A Domain Generalization Perspective on Listwise Context Modeling Lin Zhu, Yihong Chen, Bowen He ML4211: Understanding VAEs in Fisher-‐‑Shannon Plane Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, jia Wang ML4277: Weighted Oblique Decision Trees Bin-‐‑Bin Yang, Song-‐‑Qing Shen, Wei Gao ML4342: On Reinforcement Learning for Full-‐‑Length Game of StarCraft Zhen-‐‑Jia Pang, Ruo-‐‑Ze Liu, Zhou-‐‑Yu Meng, Yi Zhang, Yang Yu, Tong Lu ML4365: Data-‐‑Distortion Guided Self-‐‑Distillation for Deep Neural Networks Ting-‐‑Bing Xu, Cheng-‐‑Lin Liu ML4379: Understanding Persuasion Cascades in Online Product Rating Systems Hong Xie, Yongkun Li, John C. S. Lui ML4416: Robust Multi-‐‑Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell ML4518: Learning Compact Model for Large-‐‑Scale Multi-‐‑Label Data Tong Wei, Yu-‐‑Feng Li ML4528: Efficient Identification of Approximate Best Configuration of Training in Large Datasets Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri ML4622: Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang ML4810: Unsupervised Feature Selection by Pareto Optimization Chao Feng, Chao Qian, Ke Tang ML4816: Oversampling for Imbalanced Data via Optimal Transport Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael Kwok-‐‑Po Ng, Huaqing Min, Qingyao Wu ML4820: Collaborative, Dynamic and Diversified User Profiling Shangsong Liang ML4836: Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi ML4841: Learning (from) Deep Hierarchical Structure among Features Yu Zhang, Lei Han

ML4932: Inter-‐‑Class Angular Loss for Convolutional Neural Networks Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang ML5069: Mixture of Expert/Imitator Networks: Scalable Semi-‐‑Supervised Learning Framework Shun Kiyono, Jun Suzuki, Kentaro Inui ML5134: Ranking-‐‑Based Deep Cross-‐‑Modal Hashing Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo ML5172: Where to Go Next: A Spatio-‐‑Temporal Gated Network for Next POI Recommendation Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou ML5189: Multi-‐‑View Multi-‐‑Instance Multi-‐‑Label Learning Based on Collaborative Matrix Factorization Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo ML5211: Sign-‐‑Full Random Projections Ping Li ML5221: Confidence Weighted Multitask Learning Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao ML5238: Explainable Recommendation through Attentive Multi-‐‑View Learning Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie ML5295: Human-‐‑Like Delicate Region Erasing Strategy for Weakly Supervised Detection Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang ML5321: Partial Label Learning with Self-‐‑Guided Retraining Lei Feng, Bo An ML5324: Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu ML5339: Collaboration Based Multi-‐‑Label Learning Lei Feng, Bo An, Shuo He ML5383: Label Embedding with Partial Heterogeneous Contexts Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan ML5441: A Radical-‐‑Aware Attention-‐‑Based Model for Chinese Text Classification Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu ML5456: Using Benson's Algorithm for Regularization Parameter Tracking Joachim Giesen, Sören Laue, Andreas Löhne, Christopher Schneider ML5491: Efficient Counterfactual Learning from Bandit Feedback Yusuke Narita, Shota Yasui, Kohei Yata ML5570: Transductive Bounds for the Multi-‐‑Class Majority Vote Classifier Vasilii Feofanov, Emilie Devijver, Massih-‐‑Reza Amini ML5593: Exploiting Synthetically Generated Data with Semi-‐‑Supervised Learning for Small and Imbalanced Datasets Maria Perez-‐‑Ortiz, Peter Tino, Rafal Mantiuk, Cesar Hervas-‐‑Martinez

ML5688: Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin ML5691: Automatic Code Review by Learning the Revision of Source Code Shu-‐‑Ting Shi, Ming Li, David Lo, Ferdian Thung, Xuan Huo ML5709: Find Me If You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector Yan-‐‑Ya Zhang, Ming Li ML5745: Distributionally Robust Semi-‐‑Supervised Learning for People-‐‑Centric Sensing Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang ML5839: Automatic Bayesian Density Analysis Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera ML5925: Character-‐‑Level Language Modeling with Deeper Self-‐‑Attention Rami Al-‐‑Rfou, Dokook Choe, Noah Constant, Mandy Guo, Llion Jones ML5968: Bayesian Graph Convolutional Neural Networks for Semi-‐‑Supervised Classification Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Ustebay ML6031: Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-‐‑Line Feature and Rule Learning Mirko Polato, Fabio Aiolli ML6136: Attacking Data Transforming Learners at Training Time Scott Alfeld, Ara Vartanian, Lucas Newman-‐‑Johnson, Benjamin I. P. Rubinstein ML6217: Learning Plackett-‐‑Luce Mixtures from Partial Preferences Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia ML6229: Evaluating Recommender System Stability with Influence-‐‑Guided Fuzzing David Shriver, Sebastian Elbaum, Matthew B. Dwyer, David S. Rosenblum ML6276: Learning Vine Copula Models for Synthetic Data Generation Yi Sun, Alfredo Cuesta-‐‑Infante, Kalyan Veeramachaneni ML6318: Latent Multi-‐‑Task Architecture Learning Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard ML6432: Gradient-‐‑Based Inference for Networks with Output Constraints Jay-‐‑Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-‐‑Baptiste Tristan, Jaime Carbonell ML6455: A New Ensemble Learning Framework for 3D Biomedical Image Segmentation Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen ML6465: DyS: A Framework for Mixture Models in Quantification André Maletzke, Denis dos Reis, Everton Cherman, Gustavo Batista

ML6621: Distributional Semantics Meets Multi-‐‑Label Learning Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai ML6710: Improved Knowledge Graph Embedding Using Background Taxonomic Information Bahare Fatemi, Siamak Ravanbakhsh, David Poole ML6773: TransConv: Relationship Embedding in Social Networks Yi-‐‑Yu Lai, Jennifer Neville, Dan Goldwasser ML6844: Uncovering Specific-‐‑Shape Graph Anomalies in Attributed Graphs Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai ML6845: Off-‐‑Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift Carles Gelada, Marc G. Bellemare ML6897: Explainable Reasoning over Knowledge Graphs for Recommendation Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-‐‑Seng Chua ML6907: Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks Eric Crawford, Joelle Pineau ML7182: Multi-‐‑Precision Quantized Neural Networks via Encoding Decomposition of {-‐‑1,+1} Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao ML7188: Exploiting Class Learnability in Noisy Data Matthew Klawonn, Eric Heim, James Hendler ML7194: Learning Logistic Circuits Yitao Liang, Guy Van den Broeck ML7240: Matrix Completion for Graph-‐‑Based Deep Semi-‐‑Supervised Learning Fariborz Taherkhani, Hadi Kazemi, Nasser M. Nasrabadi ML7259: Biologically Motivated Algorithms for Propagating Local Target Representations Alexander G. Ororbia, Ankur Mali ML7290: InfoVAE: Balancing Learning and Inference in Variational Autoencoders Shengjia Zhao, Jiaming Song, Stefano Ermon ML7332: Learning Segmentation Masks with the Independence Prior Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen ML7422: A Non-‐‑Convex Optimization Approach to Correlation Clustering Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi ML7498: Active Sampling for Open-‐‑Set Classification without Initial Annotation Zhao-‐‑Yang Liu, Sheng-‐‑Jun Huang ML7543: Multi-‐‑Source Neural Variational Inference Richard Kurle, Stephan Günnemann, Patrick van der Smagt

ML7647: Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially Yudong Zhang, Wenhao Zheng, Ming Li ML7688: Towards Automated Semi-‐‑Supervised Learning Yufeng Li, Hai Wang, Tong Wei, Wei-‐‑Wei Tu ML7713: Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations Kun Huang, Bingbing Ni, Xiaokang Yang ML7938: Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification Christopher Bartley, Wei Liu, Mark Reynolds ML8001: Towards Reliable Learning for High Stakes Applications Jinyang Gao, Junjie Yao, Yingxia Shao ML8021: Active Mini-‐‑Batch Sampling Using Repulsive Point Processes Cheng Zhang, Cengiz Oztireli, Stephan Mandt, Giampiero Salvi ML8047: Modeling Local Dependence in Natural Language with Multi-‐‑Channel Recurrent Neural Networks Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-‐‑Yan Liu ML8110: Model Learning for Look-‐‑Ahead Exploration in Continuous Control Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki Natural Language Processing (NLP)

NLP629: Knowledge-‐‑Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing NLP672: Template-‐‑Based Math Word Problem Solvers with Recursive Neural Networks Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bingtian Dai, Heng Tao Shen NLP754: Data-‐‑to-‐‑Text Generation with Content Selection and Planning Ratish Puduppully, Li Dong, Mirella Lapata NLP1303: TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts Michihiro Yasunaga, John D. Lafferty NLP1610: Learning Personalized End-‐‑to-‐‑End Goal-‐‑Oriented Dialog Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun NLP1680: Kernelized Hashcode Representations for Relation Extraction Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo Cecchi, Shuyang Gao NLP1925: Towards Sentence-‐‑Level Brain Decoding with Distributed Representations Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong NLP2022: Dictionary-‐‑Guided Editing Networks for Paraphrase Generation Shaohan Huang, Yu Wu, Furu Wei, Zhongzhi Luan

NLP2192: Recurrent Stacking of Layers for Compact Neural Machine Translation Models Raj Dabre, Atsushi Fujita NLP2340: Incorporating Structured Commonsense Knowledge for Story Completion Jiaao Chen, Jianshu Chen, Zhou Yu NLP2571: Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit Dhillon NLP2651: EA Reader: Enhance Attentive Reader for Cloze-‐‑Style Question Answering via Multi-‐‑Space Context Fusion Chengzhen Fu, Yan Zhang NLP2685: Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan NLP2698: A Natural Language Corpus of Common Grounding under Continuous and Partially-‐‑Observable Context Takuma Udagawa, Akiko Aizawa NLP2849: Dependency or Span, End-‐‑to-‐‑End Uniform Semantic Role Labeling Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou NLP2960: Hierarchical Attention Networks for Sentence Ordering Tianming Wang, Xiaojun Wan NLP3179: Long Short-‐‑Term Memory with Dynamic Skip Connections Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang NLP3183: Generating Distractors for Reading Comprehension Questions from Real Examinations Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu NLP3393: Dependency Grammar Induction with a Neural Variational Transition-‐‑Based Parser Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller NLP3444: Recurrent Poisson Process Unit for Speech Recognition Hengguang Huang, Hao Wang, Brian Mak NLP3490: A Grammar-‐‑Based Structural CNN Decoder for Code Generation Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang NLP3507: Generating Live Soccer-‐‑Match Commentary from Play Data Yasufumi Taniguchi, Yukun Feng, Hiroya Takamura, Manabu Okumura NLP3549: Exploring Human-‐‑Like Reading Strategy for Abstractive Text Summarization Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen NLP3771: Neural Machine Translation with Adequacy-‐‑Oriented Learning Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard Hovy, Tong Zhang NLP3970: A Topic-‐‑Aware Reinforced Model for Weakly Supervised Stance Detection Penghui Wei, Wenji Mao, Guandan Chen

NLP4137: Generating Multiple Diverse Responses for Short-‐‑Text Conversation Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi NLP4350: Quantifying Uncertainties in Natural Language Processing Tasks Yijun Xiao, William Yang Wang NLP4382: Generating Chinese Ci with Designated Metrical Structure Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao NLP4385: Distributed Representation of Words in Cause and Effect Spaces Zhipeng Xie, Feiteng Mu NLP4402: Domain Agnostic Real-‐‑Valued Specificity Prediction Wei-‐‑Jen Ko, Greg Durrett, Junyi Jessy Li NLP4533: Unsupervised Controllable Text Formalization Parag Jain, Abhijit Mishra, Amar Prakash Azad, Karthik Sankaranarayanan NLP4605: Translating with Bilingual Topic Knowledge for Neural Machine Translation Xiangpeng Wei, Yue Hu, Luxi Xing, Yipeng Wang, Li Gao NLP4743: Better Fine-‐‑Tuning via Instance Weighting for Text Classification Zhi Wang, Wei Bi, Yan Wang, Xiaojiang Liu NLP4802: Lattice CNNs for Matching Based Chinese Question Answering Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao NLP5279: Unsupervised Learning Helps Supervised Neural Word Segmentation Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si NLP5484: Chinese NER with Height-‐‑Limited Constituent Parsing Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan NLP5729: Bidirectional Transition-‐‑Based Dependency Parsing Yunzhe Yuan, Yong Jiang, Kewei Tu NLP5754: Unsupervised Post-‐‑Processing of Word Vectors via Conceptor Negation Tianlin Liu, Lyle Ungar, João Sedoc NLP5894: What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, James Glass NLP6057: Training Temporal Word Embeddings with a Compass Valerio Di Carlo, Federico Bianchi, Matteo Palmonari NLP6156: MNCN: A Multilingual Ngram-‐‑Based Convolutional Network for Aspect Category Detection in Online Reviews Erfan Ghadery, Sajad Movahedi, Heshaam Faili, Azadeh Shakery NLP6411: Fast and Simple Mixture of Softmaxes with BPE and Hybrid-‐‑LightRNN for Language Generation Xiang Kong, Qizhe Xie, Zihang Dai, Eduard Hovy

NLP6418: Transfer Learning for Sequence Labeling Using Source Model and Target Data Lingzhen Chen, Alessandro Moschitti NLP6420: Near-‐‑Lossless Binarization of Word Embeddings Julien Tissier, Christophe Gravier, Amaury Habrard NLP6442: Analysis of Joint Multilingual Sentence Representations and Semantic K-‐‑Nearest Neighbor Graphs Holger Schwenk, Douwe Kiela, Matthijs Douze NLP6485: Contextualized Non-‐‑Local Neural Networks for Sequence Learning Pengfei Liu, Shuaichen Chang, Jian Tang, Jackie Chi Kit Cheung NLP6558: "Bilingual Expert" Can Find Translation Errors Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si NLP6597: A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge NLP6611: Graph Based Translation Memory for Neural Machine Translation Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi NLP6635: Enriching Word Embeddings with a Regressor Instead of Labeled Corpora Mohamed Abdalla, Magnus Sahlgren, Graeme Hirst NLP6886: A Deep Reinforcement Learning Based Multi-‐‑Step Coarse to Fine Question Answering (MSCQA) System Yu Wang, Hongxia Jin NLP6940: Adapting Translation Models for Transcript Disfluency Detection Qianqian Dong, Feng Wang, Zhen Yang, Wei Chen, Shuang Xu, Bo Xu NLP7061: Story Ending Generation with Incremental Encoding and Commonsense Knowledge Jian Guan, Yansen Wang, Minlie Huang NLP7138: A Hierarchical Multi-‐‑Task Approach for Learning Embeddings from Semantic Tasks Victor Sanh, Thomas Wolf, Sebastian Ruder NLP7195: CompareLDA: A Topic Model for Document Comparison Maksim Tkachenko, Hady W. Lauw NLP7220: Predicting the Argumenthood of English Prepositional Phrases Najoung Kim, Kyle Rawlins, Benjamin Van Durme , Paul Smolensky NLP7236: Revisiting LSTM Networks for Semi-‐‑Supervised Text Classification via Mixed Objective Function Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov NLP7242: Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-‐‑Philippe Morency NLP7354: Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-‐‑Philippe Morency, Barnabas Poczos

NLP7440: A Deep Sequential Model for Discourse Parsing on Multi-‐‑Party Dialogues Zhouxing Shi, Minlie Huang NLP7545: Switch-‐‑LSTMs for Multi-‐‑Criteria Chinese Word Segmentation Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu Planning, Routing, and Scheduling (PRS)

PRS591: Rotational Diversity in Multi-‐‑Cycle Assignment Problems Helge Spieker, Arnaud Gotlieb, Morten Mossige Robotics (ROB)

ROB: 2186: Probabilistic Model Checking of Robots Deployed in Extreme Environments Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster ROB: 3619: Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos Vincent Casser, Soeren Pirk, Reza Majhourian, Anelia Angelova ROB: 4364: Visual Place Recognition via Robust l2-‐‑Norm Distance Based Holism and Landmark Integration Kai Liu, Hua Wang, Fei Han, Hao Zhang ROB: 5438: Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-‐‑POMDP) Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati ROB: 5917: That's Mine! Learning Ownership Relations and Norms for Robots Zong Xuan Tan, Jake Brawer, Brian Scassellati ROB: 7891: Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies Robert Platt, Colin Kohler, Marcus Gualtieri Reasoning under Uncertainty (RU)

RU362: MFBO-‐‑SSM: Multi-‐‑Fidelity Bayesian Optimization for Fast Inference in State-‐‑Space Models Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas Allaire, Ulisses M. Braga-‐‑Neto RU517: Polynomial-‐‑Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics Brendan Juba RU652: On Testing of Uniform Samplers Sourav Chakraborty, Kuldeep S. Meel RU679: On the Hardness of Probabilistic Inference Relaxations Supratik Chakraborty, Kuldeep S. Meel, Moshe Y. Vardi RU2372: Semi-‐‑Parametric Sampling for Stochasitc Bandits with Many Arms Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin RU3036: Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts Ximing Li, Jiaojiao Zhang, Jihong Ouyang RU3722: Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications Daniel S. Brown, Scott Niekum

RU4035: Compiling Bayesian Network Classifiers into Decision Graphs Andy Shih, Arthur Choi, Adnan Darwiche RU4257: Optimizing Discount and Reputation Trade-‐‑Offs in E-‐‑Commerce Systems: Characterization and Online Learning Hong Xie, Yongkun Li, John C. S. Lui RU4517: Robust Ordinal Embedding from Contaminated Relative Comparisons Ke Ma, Qianqian Xu, Xiaochun Cao RU5082: Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation Pedro Zuidberg Dos Martires, Anton Dries, Luc de Raedt RU5465: Path-‐‑Specific Counterfactual Fairness Silvia Chiappa RU5765: Counting and Sampling Markov Equivalent Directed Acyclic Graphs Topi Talvitie, Mikko Koivisto RU5855: Collective Online Learning of Gaussian Processes in Massive Multi-‐‑Agent Systems Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan How RU5952: Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan RU5977: Lifted Hinge-‐‑Loss Markov Random Field Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor RU5988: Robustness Guarantees for Bayesian Inference with Gaussian Processes Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane RU6105: Learning Diverse Bayesian Networks Cong Chen, Changhe Yuan RU6540: Structured Bayesian Networks: From Inference to Learning with Routes Yujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi RU6587: On Lifted Inference Using Neural Embeddings Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal RU7217: Marginal Inference in Continuous Markov Random Fields Using Mixtures Yuanzhen Guo, Hao Xiong, Nicholas Ruozzi Vision (VIS)

VIS119: Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network Saihui Hou, Zilei Wang VIS233: Disentangled Variational Representation for Heterogeneous Face Recognition Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun VIS610: Recognizing Unseen Attribute-‐‑Object Pair with Generative Model Zhixiong Nan, Yang Liu, Nanning Zheng, Song-‐‑Chun Zhu

VIS736: DDFlow: Learning Optical Flow with Unlabeled Data Distillation Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu VIS880: Learning a Deep Convolutional Network for Colorization in Monochrome-‐‑Color Dual-‐‑Lens System Xuan Dong, Weixin Li, Xiaojie Wang, Yunhong Wang VIS972: Safeguarded Dynamic Label Regression for Noisy Supervision Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun VIS985: Learning Basis Representation to Refine 3D Human Pose Estimations Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng VIS1239: Mono3D++: Monocular 3D Vehicle Detection with Two-‐‑Scale 3D Hypotheses and Task Priors Tong He, Stefano Soatto VIS1399: A Dual Attention Network with Semantic Embedding for Few-‐‑Shot Learning Shipeng Yan, Songyang Zhang, Xuming He VIS1902: MR-‐‑NET: Exploiting Mutual Relation for Visual Relationship Detection Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen VIS2210: Calibrated Stochastic Gradient Descent for Convolutional Neural Networks Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David Doermann VIS2665: Almost Unsupervised Learning for Dense Crowd Counting Deepak Babu Sam, Neeraj Nagaraj Sajjan, Himanshu Maurya, R. Venkatesh Babu VIS2706: Depthwise Convolution is All You Need for Learning Multiple Visual Domains Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing VIS2815: Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping Jinyang Yuan, Bin Li, Xiangyang Xue VIS3009: Residual Compensation Networks for Heterogeneous Face Recognition Zhongying Deng, Xiaojiang Peng, Yu Qiao VIS3045: Dual Semi-‐‑Supervised Learning for Facial Action Unit Recognition Guozhu Peng, Shangfei Wang VIS3241: A Framework to Coordinate Segmentation and Recognition Wei Huang, Huimin Yu, Weiwei Zheng, Jing Zhang VIS3300: Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao VIS3362: Learning Attribute-‐‑Specific Representations for Visual Tracking Yuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang, Ming-‐‑Hsuan Yang VIS3375: Learning Non-‐‑Uniform Hypergraph for Multi-‐‑Object Tracking Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu

VIS3468: Learning Object Context for Dense Captioning Xiangyang Li, Shuqiang Jiang, Jungong Han VIS3538: Learning a Visual Tracker from a Single Movie without Annotation Lingxiao Yang, David Zhang, Lei Zhang VIS3574: Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method Lai Jiang, Zhe Wang, Mai Xu, Zulin Wang VIS4047: Learning Fully Dense Neural Networks for Image Semantic Segmentation Mingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan VIS4048: Robust Deep Co-‐‑Saliency Detection with Group Semantic Chong Wang, Zheng-‐‑Jun Zha, Dong Liu, Hongtao Xie VIS4105: Dual-‐‑View Ranking with Hardness Assessment for Zero-‐‑Shot Learning Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai VIS5195: Multi-‐‑Attribute Transfer via Disentangled Representation Jianfu Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, Liqing Zhang VIS5358: PVRNet: Point-‐‑View Relation Neural Network for 3D Shape Recognition Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao VIS5390: Deliberate Attention Networks for Image Captioning Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen VIS5540: Attention-‐‑Aware Sampling via Deep Reinforcement Learning for Action Recognition Wenkai Dong, Zhaoxiang Zhang, Tieniu Tan VIS5768: Instance-‐‑Level Facial Attributes Transfer with Geometry-‐‑Aware Flow Weidong Yin, Ziwei Liu, Chen Change Loy VIS5773: Graph CNNs with Motif and Variable Temporal Block for Skeleton-‐‑Based Action Recognition Yu-‐‑Hui Wen, Lin Gao, Hongbo Fu, Fang-‐‑Lue Zhang, Shihong Xia VIS5873: Skeleton-‐‑Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module Chenyang Li, Xin Zhang, Lufan Liao, Lianwen Jin, Weixin Yang VIS6316: Data Fine-‐‑Tuning Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh VIS6793: PCGAN: Partition-‐‑Controlled Human Image Generation Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou VIS6992: Spatio-‐‑Temporal Graph Routing for Skeleton-‐‑Based Action Recognition Bin Li, Xi Li, Zhongfei Zhang, Fei Wu VIS7092: GaitSet: Regarding Gait as a Set for Cross-‐‑View Gait Recognition Hanqing Chao, Yiwei He, Junping Zhang, JianFeng Feng

VIS7147: Similarity Preserving Deep Asymmetric Quantization for Image Retrieval Junjie Chen, William K. Cheung VIS7214: KVQA: Knowledge-‐‑Aware Visual Question Answering Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar VIS7837: A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess VIS7976: Robust Estimation of Similarity Transformation for Visual Object Tracking Yang Li, Jianke Zhu, Steven C. H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu Student Abstracts

SA350: Classifier-‐‑Agnostic Saliency Map Extraction Konrad Żołna, Krzysztof J. Geras, Kyunghyun Cho SA351: Geometric Multi-‐‑Model Fitting by Deep Reinforcement Learning Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang SA353: DSINE: Deep Structural Influence Learning via Network Embedding Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan SA357: Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals Kacper Sokol, Peter Flach SA359: Towards Better Accuracy and Robustness with Localized Adversarial Training Eitan Rothberg, Tingting Chen, Hao Ji SA363: Semi-‐‑Supervised Learning for Electron Microscopy Image Segmentation Eichi Takaya, Yusuke Takeichi, Mamiko Ozaki, Satoshi Kurihara SA367: Teaching Machines to Extract Main Content for Machine Reading Comprehension Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng SA371: Loss-‐‑Balanced Task Weighting to Reduce Negative Transfer in Multi-‐‑Task Learning Shengchao Liu, Yingyu Liang, Anthony Gitter SA372: Identifying Android Malware Using Network-‐‑Based Approaches Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-‐‑Corradini SA377: Towards Task Understanding in Visual Settings Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz SA379: Reinforcement Learning under Threats Victor Gallego, Roi Naveiro, David Rios Insua SA384: MaMiC : Macro and Micro Curriculum for Robotic Reinforcement Learning Manan Tomar, Akhil Sathuluri, Balaraman Ravindran SA397: Partners in Crime: Manipulating the Deferred Acceptance Algorithm through an Accomplice Theodora Bendlin, Hadi Hosseini

SA401: Variational BEJG Solvers for Marginal-‐‑MAP Inference with Accurate Approximation of B-‐‑conditional Entropy Igor Kiselev SA403: Meta-‐‑Path Augmented Response Generation Yanran Li, Wenjie Li SA410: Identifying Bottlenecks in Practical SAT-‐‑Based Model Finding for First-‐‑Order Logic Ontologies with Datasets Shirly Stephen, Torsten Hahmann SA412: CSEye: A Proposed Solution for Accurate and Accessible One-‐‑to-‐‑Many Face Verification Ameer Dharamshi, Rosie Yuyan Zou SA413: Type Sequence Preserving Heterogeneous Information Network Embedding Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu SA416: Level Weighted Structural Similarity Loss: A Step Away from MSE Yingjing Lu SA421: An Improved Hierarchical Datastructure for Nearest Neighbor Search Mengdie Nie, Zhi-‐‑Jie Wang, Chunjing Gan, Zhe Quan, Bin Yao, Jian Yin SA423: Semi-‐‑Supervised Feature Selection with Adaptive Discriminant Analysis Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie SA429: Incorporating Context-‐‑Relevant Knowledge into Convolutional Neural Networks for Short Text Classification Jingyun Xu, Yi Cai SA438: APRP: An Anonymous Propagation Method in Bitcoin Network Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang SA440: Strategic Tasks for Explainable Reinforcement Learning Rey Pocius, Lawrence Neal, Alan Fern SA454: An Adaptive Framework for Conversational Question Answering Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng SA478: Adaptive Optimization Framework for Control of Multi-‐‑Agent Systems Anna Lukina SA480: Video-‐‑Based Sentiment Analysis with hvnLBP-‐‑TOP Feature and bi-‐‑LSTM Haoran Li, Hua Xu SA481: Matroid Constrained Fair Allocation Problem Arpita Biswas, Siddharth Barman Demos

DEMO218: K3S: Knowledge-‐‑Driven Solution Support System Yu Zhang, Morteza Saberi, Min Wang, Elizabeth Chang DEMO255: MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialog Agents Tathagata Chakraborti, Christian Muise, Shubham Agarwal, Luis Lastras DEMO261: QADiver: Interactive Framework for Diagnosing QA Models Gyeongbok Lee, Sungdong Kim, Seung-‐‑won Hwang

DEMO335: Realtime Generation of Audible Textures Inspired by a Video Stream Simone Mellace, Jérôme Guzzi, Alessandro Giusti, Luca M. Gambardella

DEMO354: Proppy: A System to Unmask Propaganda in Online News Alberto Barrón-‐‑Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov

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